Todo Papers

Todo Papers (priority queue)

Total: 3328 entries

arXiv	imp	seen_count	status	title
1706.03762	yes	634	rejected	Attention is All you Need
1412.6980	yes	631	done	Adam: A Method for Stochastic Optimization
1806.03536	yes	489	done	Representation Learning on Graphs with Jumping Knowledge Networks
1312.6203	yes	484	done	Spectral Networks and Locally Connected Networks on Graphs
1812.08434	yes	472	done	Graph Neural Networks: A Review of Methods and Applications
1912.01703	yes	337	rejected	PyTorch: An Imperative Style, High-Performance Deep Learning Library
1810.04805	yes	312	rejected	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
1512.03385	yes	265	rejected	Deep Residual Learning for Image Recognition
1806.01261	yes	265	done	Relational inductive biases, deep learning, and graph networks
2106.03893	yes	262	done	Rethinking Graph Transformers with Spectral Attention
2002.05709	yes	258	rejected	A Simple Framework for Contrastive Learning of Visual Representations
2004.05718	yes	237	done	Principal Neighbourhood Aggregation for Graph Nets
1611.08097	yes	236	done	Geometric Deep Learning: Going beyond Euclidean data
2011.02260	yes	204	done	Graph Neural Networks in Recommender Systems: A Survey
1807.03748	yes	197	rejected	Representation Learning with Contrastive Predictive Coding
2403.16137	yes	192	done	A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
1610.02415	yes	190	done	Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
1709.05584	yes	189	done	Representation Learning on Graphs: Methods and Applications
1806.02473	yes	183	done	Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
2103.09430	yes	179	done	OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
2005.14165	yes	178	rejected	Language Models are Few-Shot Learners
1711.07553	yes	173	done	Residual Gated Graph ConvNets
1911.05722	yes	161	rejected	Momentum Contrast for Unsupervised Visual Representation Learning
1310.4546	yes	159	rejected	Distributed Representations of Words and Phrases and their Compositionality
1502.03167	yes	159	rejected	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
1805.11973	yes	159	done	MolGAN: An implicit generative model for small molecular graphs
2101.03164	yes	156	pending	E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
2012.08752	yes	155	done	Graph Neural Networks: Taxonomy, Advances, and Trends
2202.08235	yes	154	done	Data Augmentation for Deep Graph Learning
2104.13478	yes	151	done	Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
1211.0053	yes	149	done	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
2205.07424	yes	148	done	Trustworthy Graph Neural Networks: Aspects, Methods, and Trends
2010.11929	yes	143	rejected	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
2407.03125	yes	143	rejected	Foundations and Frontiers of Graph Learning Theory
1703.06114	yes	143	rejected	Deep Sets
1808.06670	yes	143	rejected	Learning deep representations by mutual information estimation and maximization
2304.05055	yes	143	done	A Comprehensive Survey on Deep Graph Representation Learning
2210.07606	yes	139	done	Revisiting Heterophily For Graph Neural Networks
2204.01855	yes	136	done	A Survey on Graph Representation Learning Methods
2310.04987	yes	136	done	Data-Centric Graph Learning: A Survey
1903.02541	yes	135	done	Relational Pooling for Graph Representations
2209.05582	yes	135	done	Graph Neural Networks for Molecules
2310.11829	yes	134	done	Graph Foundation Models: Concepts, Opportunities and Challenges
2305.17589	yes	134	done	Graph Inductive Biases in Transformers without Message Passing
1607.06450	yes	130	rejected	Layer Normalization
2111.14522	yes	129	done	Understanding over-squashing and bottlenecks on graphs via curvature
2006.07739	yes	128	done	DeeperGCN: All You Need to Train Deeper GCNs
2006.10503	yes	127	done	SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
2208.09481	yes	127	done	Graph neural networks for materials science and chemistry
2403.00485	yes	124	done	A survey of geometric graph neural networks: data structures, models and applications
2002.06157	yes	123	rejected	Generalization and Representational Limits of Graph Neural Networks
2006.11239	yes	123	rejected	Denoising Diffusion Probabilistic Models
2006.07733	yes	122	rejected	Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
2101.10320	yes	122	done	Identity-aware Graph Neural Networks
2112.09992	yes	121	done	Weisfeiler and Leman go Machine Learning: The Story so far
2203.17003	yes	120	rejected	Equivariant Diffusion for Molecule Generation in 3D
1805.09076	yes	117	done	Constrained Graph Variational Autoencoders for Molecule Design
2204.08570	yes	117	done	A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
2202.07987	yes	116	done	Out-of-Distribution Generalization on Graphs: A Survey
2301.05860	yes	116	done	State of the Art and Potentialities of Graph-level Learning
2402.02216	yes	115	done	Position: Graph Foundation Models Are Already Here
2202.08871	yes	114	done	Graph Data Augmentation for Graph Machine Learning: A Survey
1611.01144	yes	113	rejected	Categorical Reparameterization with Gumbel-Softmax
1806.02371	yes	112	rejected	Adversarial Attack on Graph Structured Data
2107.10234	yes	110	done	Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
2010.02863	yes	109	done	Directional Graph Networks
2105.07342	yes	108	done	Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive
2303.10993	yes	107	done	A Survey on Oversmoothing in Graph Neural Networks
1907.03199	yes	107	rejected	What graph neural networks cannot learn: depth vs width
2005.03675	yes	107	done	Machine Learning on Graphs: A Model and Comprehensive Taxonomy
2006.13318	yes	105	rejected	A Note on Over-Smoothing for Graph Neural Networks
0912.3848	yes	103	done	Wavelets on Graphs via Spectral Graph Theory
2201.12987	yes	103	done	Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
2302.02941	yes	102	rejected	On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
2102.05013	yes	101	pending	Spherical Message Passing for 3D Molecular Graphs
2203.14500	yes	101	rejected	MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
2404.14928	yes	101	done	Graph Machine Learning in the Era of Large Language Models (LLMs)
1905.11485	yes	98	done	Representation Learning for Dynamic Graphs: A Survey
2006.08218	yes	97	done	Self-Supervised Learning: Generative or Contrastive
1301.3781	yes	96	rejected	Efficient Estimation of Word Representations in Vector Space
1406.1078	yes	94	rejected	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
1409.0473	yes	93	rejected	Neural Machine Translation by Jointly Learning to Align and Translate
2403.04468	yes	93	done	A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges
2505.15547	yes	92	rejected	Oversmoothing, “Oversquashing”, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
2502.14546	yes	92	done	Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
2010.00130	yes	92	done	Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
2206.11990	yes	92	done	Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
2106.12484	yes	91	done	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
1708.05031	yes	90	rejected	Neural Collaborative Filtering
2304.04779	yes	90	rejected	GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
2406.12841	yes	90	done	Demystifying Higher-Order Graph Neural Networks
1312.6114	yes	89	rejected	Auto-Encoding Variational Bayes
1709.07604	yes	89	done	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2107.12375	yes	89	done	Geometric deep learning on molecular representations
2312.02783	yes	88	done	Large Language Models on Graphs: A Comprehensive Survey
2502.16533	yes	86	done	A Survey of Graph Transformers: Architectures, Theories and Applications
1904.01561	yes	86	done	Analyzing Learned Molecular Representations for Property Prediction
1906.00957	yes	86	done	Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules
2109.12843	yes	86	done	A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
2405.11868	yes	86	done	Towards Graph Contrastive Learning: A Survey and Beyond
1812.10528	yes	85	done	Adversarial Attack and Defense on Graph Data: A Survey
1908.01207	yes	85	done	Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
2003.04078	yes	85	done	A Survey on The Expressive Power of Graph Neural Networks
2410.19265	yes	84	done	A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation
2011.13456	yes	83	rejected	Score-Based Generative Modeling through Stochastic Differential Equations
2402.01440	yes	83	done	A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning
1905.04943	yes	82	rejected	Universal Invariant and Equivariant Graph Neural Networks
1905.13686	yes	82	done	Explainability Techniques for Graph Convolutional Networks
2110.07580	yes	82	rejected	Graph Condensation for Graph Neural Networks
1710.02971	yes	81	done	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
2007.01570	yes	81	done	Scaling Graph Neural Networks with Approximate PageRank
2011.09643	yes	81	rejected	Node Similarity Preserving Graph Convolutional Networks
2309.10979	yes	81	done	Towards Data-centric Graph Machine Learning: Review and Outlook
1806.07366	yes	80	done	Neural Ordinary Differential Equations
2103.12608	yes	80	done	DIG: A Turnkey Library for Diving into Graph Deep Learning Research
2212.08966	yes	79	done	Graph learning and its advancements on large language models: A holistic survey
1909.01315	yes	78	done	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs
2006.10141	yes	78	done	Self-supervised Learning on Graphs: Deep Insights and New Directions
1205.2618	yes	77	done	BPR: Bayesian Personalized Ranking from Implicit Feedback
2401.09769	yes	76	done	A survey on learning from graphs with heterophily: recent advances and future directions
2108.10733	yes	75	done	Graph Neural Networks: Methods, Applications, and Opportunities
2304.01391	yes	75	done	Counterfactual Learning on Graphs: A Survey
2401.11720	yes	74	done	Graph Condensation: A Survey
2605.08679	yes	74	done	Attention-based graph neural networks: a survey
2102.08786	yes	73	done	Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
1901.09342	yes	73	rejected	On the Universality of Invariant Networks
1906.04214	yes	73	rejected	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
2311.16534	yes	73	done	Graph Prompt Learning: A Comprehensive Survey and Beyond
2405.11034	yes	73	done	Safety in Graph Machine Learning: Threats and Safeguards
2311.07073	yes	71	done	Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges
2310.10121	yes	71	done	From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
1503.02531	yes	71	rejected	Distilling the Knowledge in a Neural Network
2311.12399	yes	70	done	A Survey of Graph Meets Large Language Model: Progress and Future Directions
1907.05600	yes	70	rejected	Generative Modeling by Estimating Gradients of the Data Distribution
2105.00696	yes	70	done	Graph Learning: A Survey
2205.09702	yes	70	done	Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
2205.10014	yes	70	done	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection
2406.09675	yes	70	done	A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
1503.03585	yes	68	rejected	Deep Unsupervised Learning using Nonequilibrium Thermodynamics
1907.02893	yes	68	rejected	Invariant Risk Minimization
1910.12933	yes	68	done	Hyperbolic Graph Convolutional Neural Networks
2103.00020	yes	68	rejected	Learning Transferable Visual Models From Natural Language Supervision
2203.06714	yes	68	done	A Survey on Deep Graph Generation: Methods and Applications
2407.09777	yes	68	done	Graph Transformers: A Survey
2506.08326	yes	68	done	Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
0711.0189	yes	67	rejected	A tutorial on spectral clustering
2306.02664	yes	67	done	Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
1912.12693	yes	66	rejected	A Gentle Introduction to Deep Learning for Graphs
2302.13971	yes	66	rejected	LLaMA: Open and Efficient Foundation Language Models
2304.05729	yes	66	done	Dynamic Graph Representation Learning With Neural Networks: A Survey
2402.03358	yes	66	done	A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
0807.0093	yes	65	done	Graph Kernels
1602.07576	yes	65	rejected	Group Equivariant Convolutional Networks
1612.00593	yes	65	rejected	PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2011.14867	yes	65	done	A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
2402.02287	yes	64	rejected	Future Directions in the Theory of Graph Machine Learning
1711.08752	yes	64	done	A Survey on Network Embedding
1908.10084	yes	64	rejected	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
2005.07496	yes	64	done	Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey
2106.05609	yes	64	done	GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
2212.09970	yes	64	done	Data Augmentation on Graphs: A Technical Survey
2405.08011	yes	64	done	A Survey of Large Language Models for Graphs
2412.08174	yes	64	done	Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
2302.06835	yes	63	done	Understanding Oversquashing in GNNs through the Lens of Effective Resistance
1403.6652	yes	63	done	DeepWalk: Online Learning of Social Representations
1703.03400	yes	63	rejected	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
1710.09412	yes	63	rejected	mixup: Beyond Empirical Risk Minimization
2111.06377	yes	63	rejected	Masked Autoencoders Are Scalable Vision Learners
1807.05560	yes	62	done	DeepInf: Social Influence Prediction with Deep Learning
1907.11692	yes	62	rejected	RoBERTa: A Robustly Optimized BERT Pretraining Approach
2104.04883	yes	62	done	Graph Representation Learning in Biomedicine and Healthcare
2202.04579	yes	62	done	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
2302.01018	yes	62	done	Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
2308.15568	yes	62	done	Over-Squashing in Graph Neural Networks: A Comprehensive survey
2505.15116	yes	62	done	Graph Foundation Models: Challenges, Methods, and Open Questions
1201.0490	yes	61	rejected	Scikit-learn: Machine Learning in Python
2204.07321	yes	61	done	Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
2204.07697	yes	61	rejected	Theory of Graph Neural Networks: Representation and Learning
2310.01668	yes	59	done	Locality-Aware Graph Rewiring in GNNs
2010.07067	yes	59	done	Machine Learning Force Fields
2012.15544	yes	59	done	Deep Graph Generators: A Survey
2102.03322	yes	59	done	CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
2211.00216	yes	59	done	Distributed Graph Neural Network Training: A Survey
2302.02591	yes	59	done	Generative Diffusion Models on Graphs: Methods and Applications
2510.21131	yes	59	done	Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
2002.00388	yes	58	done	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2207.04869	yes	58	done	Graph-based Molecular Representation Learning
2306.01958	yes	58	done	A Survey on Explainability of Graph Neural Networks
1803.09518	yes	57	done	Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery
2103.03230	yes	57	rejected	Barlow Twins: Self-Supervised Learning via Redundancy Reduction
2202.11097	yes	57	rejected	Message passing all the way up
2205.15555	yes	57	done	Graph-level Neural Networks: Current Progress and Future Directions
2304.01565	yes	57	done	A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
2305.01140	yes	57	done	Geometric Latent Diffusion Models for 3D Molecule Generation
2502.05424	yes	57	rejected	SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
2502.10556	yes	57	done	Recent Advances in Malware Detection: Graph Learning and Explainability
2309.08478	yes	56	done	Current and future directions in network biology
1712.00468	yes	56	rejected	Graph Signal Processing: Overview, Challenges, and Applications
1809.01093	yes	56	rejected	Adversarial Attacks on Node Embeddings via Graph Poisoning
2106.07178	yes	56	done	A Comprehensive Survey on Graph Anomaly Detection With Deep Learning
2202.07893	yes	56	done	A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
2302.08261	yes	56	done	Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
1705.02801	yes	55	done	Graph Embedding Techniques, Applications, and Performance: A Survey
2401.09071	yes	55	done	Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering
2404.13604	yes	54	rejected	CKGConv: General Graph Convolution with Continuous Kernels
1907.10902	yes	54	rejected	Optuna: A Next-generation Hyperparameter Optimization Framework
1908.02441	yes	54	rejected	Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
2011.10566	yes	54	rejected	Exploring Simple Siamese Representation Learning
2305.05577	yes	54	rejected	FAENet: Frame Averaging Equivariant GNN for Materials Modeling
2310.18608	yes	54	done	Embedding in Recommender Systems: A Survey
1705.10843	yes	53	rejected	Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
1905.13177	yes	53	rejected	Graph Normalizing Flows
1910.10683	yes	53	rejected	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
2102.09544	yes	53	done	Combinatorial optimization and reasoning with graph neural networks
2111.10772	yes	53	done	Network representation learning: A macro and micro view
2202.09212	yes	53	done	Molecule generation for drug design: A graph learning perspective
2303.08774	yes	53	rejected	GPT-4 Technical Report
2405.04114	yes	53	done	Acceleration Algorithms in GNNs: A Survey
1412.6572	yes	52	rejected	Explaining and Harnessing Adversarial Examples
2409.01931	yes	52	done	On the design space between molecular mechanics and machine learning force fields
0910.1019	yes	51	rejected	Gaussian approximation potentials: the accuracy of quantum mechanics, without the electrons.
1905.01004	yes	51	done	Stability and Generalization of Graph Convolutional Neural Networks
2004.11362	yes	51	done	Supervised Contrastive Learning
2005.10243	yes	51	rejected	What makes for good views for contrastive learning
2102.13303	yes	51	done	Graph-Based Semi-Supervised Learning: A Comprehensive Review
2106.05150	yes	51	done	Scaling Up Graph Neural Networks Via Graph Coarsening
2106.07971	yes	51	done	Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond
2202.07230	yes	51	done	Geometrically Equivariant Graph Neural Networks: A Survey
2404.14642	yes	51	done	Uncertainty Quantification on Graph Learning: A Survey
2407.15320	yes	51	done	Edge Graph Intelligence: Reciprocally Empowering Edge Networks With Graph Intelligence
2411.09429	yes	51	done	AI-Driven Inverse Design of Materials: Past, Present, and Future
1010.0725	yes	50	done	Link Prediction in Complex Networks: A Survey
1703.05175	yes	50	rejected	Prototypical Networks for Few-shot Learning
2009.11848	yes	50	done	How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
2110.05478	yes	50	done	An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
2305.13854	yes	50	done	The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey
2402.06330	yes	50	done	Continual Learning on Graphs: A Survey
2402.08871	yes	50	rejected	Position: Topological Deep Learning is the New Frontier for Relational Learning
2602.10031	yes	50	rejected	Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
2106.06610	yes	49	rejected	Scalars are universal: Equivariant machine learning, structured like classical physics
2204.10037	yes	49	rejected	DropMessage: Unifying Random Dropping for Graph Neural Networks
2210.16484	yes	49	done	A Systematic Survey of Chemical Pre-trained Models
2211.12875	yes	49	done	A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource
2401.15617	yes	49	done	Diffusion-Based Graph Generative Methods
2405.00476	yes	49	done	A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
2105.04550	yes	48	done	Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
2204.03080	yes	48	done	Graph Neural Networks Designed for Different Graph Types: A Survey
2307.09288	yes	48	rejected	Llama 2: Open Foundation and Fine-Tuned Chat Models
2404.03354	yes	48	done	A Comprehensive Survey on Self-Supervised Learning for Recommendation
2406.08511	yes	48	done	Diffusion Models in De Novo Drug Design
2406.13125	yes	48	done	A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
2502.00529	yes	48	done	Graph Data Management and Graph Machine Learning: Synergies and Opportunities
2508.19641	yes	48	done	Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses
1711.10907	yes	47	done	Deep reinforcement learning for de novo drug design
1802.04407	yes	47	done	Adversarially Regularized Graph Autoencoder for Graph Embedding
1811.04801	yes	47	rejected	On Weisfeiler-Leman Invariance: Subgraph Counts and Related Graph Properties
2003.00688	yes	47	rejected	Out-of-Distribution Generalization via Risk Extrapolation (REx)
2005.10242	yes	47	rejected	Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
2010.09891	yes	47	done	Robust Optimization as Data Augmentation for Large-scale Graphs
2106.05386	yes	47	done	Artificial Intelligence in Drug Discovery: Applications and Techniques
2302.05631	yes	47	done	A Survey on Spectral Graph Neural Networks
2305.04111	yes	47	rejected	Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
2308.13821	yes	47	done	A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
2405.13526	yes	46	done	Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
1412.3555	yes	46	rejected	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
1703.01365	yes	46	rejected	Axiomatic Attribution for Deep Networks
2012.05716	yes	46	done	Utilising Graph Machine Learning within Drug Discovery and Development
2102.01350	yes	46	done	Graph Coarsening with Neural Networks
2201.12884	yes	46	rejected	A Theoretical Comparison of Graph Neural Network Extensions
2207.09453	yes	46	done	e3nn: Euclidean Neural Networks
2301.01098	yes	46	done	Cluster-guided Contrastive Graph Clustering Network
2311.18526	yes	46	done	HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
2312.03731	yes	46	rejected	MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
2501.01124	yes	46	done	Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
2310.19285	yes	45	done	Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
2208.03471	yes	45	done	Oversquashing in GNNs through the lens of information contraction and graph expansion
1905.13211	yes	45	done	What Can Neural Networks Reason About?
2203.00667	yes	45	rejected	Generative Adversarial Networks
2308.16375	yes	45	done	A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
2404.14809	yes	45	done	A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
2409.07327	yes	45	done	Current Symmetry Group Equivariant Convolution Frameworks for Representation Learning
1807.09596	yes	44	rejected	Contextual Stochastic Block Models
2102.09672	yes	44	rejected	Improved Denoising Diffusion Probabilistic Models
2105.13137	yes	44	done	Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
2210.04124	yes	44	done	Generalized energy and gradient flow via graph framelets
2210.16966	yes	44	done	Interpretable Geometric Deep Learning via Learnable Randomness Injection
2305.18407	yes	44	pending	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
2408.12594	yes	44	done	Non-Homophilic Graph Pre-Training and Prompt Learning
2409.09888	yes	44	done	Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
2503.09363	yes	44	done	Towards Graph Foundation Models: A Transferability Perspective
2503.11086	yes	44	done	A Survey of Cross-domain Graph Learning: Progress and Future Directions
1801.04062	yes	43	rejected	Mutual Information Neural Estimation
2101.01229	yes	43	done	A Survey on Embedding Dynamic Graphs
2110.14863	yes	43	done	Graph Communal Contrastive Learning
2112.10752	yes	43	rejected	High-Resolution Image Synthesis with Latent Diffusion Models
2206.04216	yes	43	done	Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
2310.02579	yes	43	done	On the Stability of Expressive Positional Encodings for Graphs
2401.02143	yes	43	done	Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
2503.00750	yes	43	done	Edge Prompt Tuning for Graph Neural Networks
2406.12059	yes	42	done	A Scalable and Effective Alternative to Graph Transformers
1503.00759	yes	42	done	A Review of Relational Machine Learning for Knowledge Graphs
1801.07455	yes	42	done	Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
2010.15116	yes	42	done	On Graph Neural Networks versus Graph-Augmented MLPs
2103.00742	yes	42	done	Automated Machine Learning on Graphs: A Survey
2105.05233	yes	42	rejected	Diffusion Models Beat GANs on Image Synthesis
2105.05911	yes	42	done	The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
2203.09020	yes	42	done	Graph Augmentation Learning
2208.12422	yes	42	rejected	Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity
2209.05481	yes	42	done	A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
2302.01503	yes	42	rejected	LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
2307.03759	yes	42	done	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
2408.08044	yes	42	done	Crystalline Material Discovery in the Era of Artificial Intelligence
2503.23167	yes	42	done	Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
2507.00927	yes	42	done	Understanding Generalization in Node and Link Prediction
1606.00709	yes	41	rejected	f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
1903.04388	yes	41	done	Deep learning for molecular generation and optimization - a review of the state of the art
1910.11945	yes	41	done	Improving Graph Attention Networks with Large Margin-based Constraints
2010.02449	yes	41	rejected	On the Universality of Rotation Equivariant Point Cloud Networks
2102.06321	yes	41	done	Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
2209.03299	yes	41	done	Multimodal learning with graphs
2209.09732	yes	41	done	Neural Graph Databases
2212.12230	yes	41	done	Recommending on graphs: a comprehensive review from a data perspective
2303.09902	yes	41	done	Contrastive Self-supervised Learning in Recommender Systems: A Survey
2303.10108	yes	41	done	Data-Centric Learning from Unlabeled Graphs with Diffusion Model
2404.18211	yes	41	done	A survey of dynamic graph neural networks
2406.04336	yes	41	rejected	On the Expressive Power of Spectral Invariant Graph Neural Networks
2605.08291	yes	41	done	Graph Computation Meets Circuit Algebra: A Task-Aligned Analysis of Graph Neural Networks for Electronic Design Automation
2605.18893	yes	41	rejected	Position: Graph Condensation Needs a Reset - Move Beyond Full-dataset Training and Model-Dependence
2411.17429	yes	40	done	Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey
2303.00613	yes	40	rejected	Diffusing Graph Attention
1206.5538	yes	40	rejected	Representation Learning: A Review and New Perspectives
1906.05849	yes	40	rejected	Contrastive Multiview Coding
2103.01710	yes	40	done	Autobahn: Automorphism-based Graph Neural Nets
2106.15535	yes	40	done	Subgroup Generalization and Fairness of Graph Neural Networks
2202.10688	yes	40	done	Graph Lifelong Learning: A Survey
2209.00796	yes	40	done	Diffusion Models: A Comprehensive Survey of Methods and Applications
2212.10701	yes	40	done	A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
2301.08210	yes	40	done	Everything is Connected: Graph Neural Networks
2405.09591	yes	40	rejected	A Comprehensive Survey on Data Augmentation
2410.21006	yes	40	done	A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
2506.11869	yes	39	done	How do probabilistic graphical models and graph neural networks look at network data?
2403.11199	yes	39	done	Graph Unitary Message Passing
1802.03690	yes	39	rejected	On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
1806.09055	yes	39	rejected	DARTS: Differentiable Architecture Search
1811.01900	yes	39	done	Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
2106.09685	yes	39	rejected	LoRA: Low-Rank Adaptation of Large Language Models
2201.01288	yes	39	done	Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
2202.07114	yes	39	done	Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack
2209.01084	yes	39	rejected	Neighborhood-aware Scalable Temporal Network Representation Learning
2210.07237	yes	39	pending	Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations
2211.05368	yes	39	done	A Comprehensive Survey on Distributed Training of Graph Neural Networks
2212.05767	yes	39	done	A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
2505.22402	yes	39	done	Machine-learned potentials for solvation modeling
1503.03578	yes	38	done	LINE: Large-scale Information Network Embedding
1605.08803	yes	38	rejected	Density estimation using Real NVP
1612.00410	yes	38	rejected	Deep Variational Information Bottleneck
1706.06083	yes	38	rejected	Towards Deep Learning Models Resistant to Adversarial Attacks
1905.10261	yes	38	rejected	Approximation Ratios of Graph Neural Networks for Combinatorial Problems
1907.01632	yes	38	done	Generative Models for Automatic Chemical Design
2010.05337	yes	38	done	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
2102.06966	yes	38	rejected	Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
2305.03474	yes	38	done	Zoo guide to network embedding
2306.09614	yes	38	done	HomoGCL: Rethinking Homophily in Graph Contrastive Learning
2306.12726	yes	38	done	On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
2406.18854	yes	38	done	What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
1206.6483	yes	37	done	Subgraph Matching Kernels for Attributed Graphs
1606.08415	yes	37	rejected	Gaussian Error Linear Units (GELUs)
1608.06993	yes	37	rejected	Densely Connected Convolutional Networks
2103.00111	yes	37	done	Graph Self-Supervised Learning: A Survey
2107.13586	yes	37	rejected	Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
2202.05146	yes	37	rejected	EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
2205.10053	yes	37	done	What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
2303.13047	yes	37	done	Towards Better Dynamic Graph Learning: New Architecture and Unified Library
2305.14247	yes	37	done	Evaluation of the MACE Force Field Architecture: from Medicinal Chemistry to Materials Science
2306.10456	yes	37	done	Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
2412.01849	yes	37	done	Toward Data-Centric Machine Learning on Directed Graphs: A Survey
2504.11699	yes	37	done	H3GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning
2509.10337	yes	37	done	Exact Generalisation Error Exposes Benchmarks Skew Graph Neural Networks Success (or Failure)
1502.01852	yes	36	rejected	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
1602.01585	yes	36	rejected	Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
1602.04938	yes	36	rejected	“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
1906.00910	yes	36	rejected	Learning Representations by Maximizing Mutual Information Across Views
1907.13625	yes	36	rejected	On Mutual Information Maximization for Representation Learning
2005.06149	yes	36	done	DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
2103.03036	yes	36	done	A Survey on Graph Structure Learning: Progress and Opportunities
2103.14030	yes	36	rejected	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2204.04661	yes	36	rejected	Expressiveness and Approximation Properties of Graph Neural Networks
2206.02796	yes	36	done	Mixed Graph Contrastive Network for Semi-Supervised Node Classification
2302.00219	yes	36	done	Knowledge Distillation on Graphs: A Survey
2305.16102	yes	36	rejected	Demystifying Oversmoothing in Attention-Based Graph Neural Networks
2409.09858	yes	36	done	A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View
2502.21185	yes	36	done	A Survey of Link Prediction in Temporal Networks
2506.06582	yes	36	done	Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing
2508.00304	yes	36	done	Invariant Graph Transformer for Out-of-Distribution Generalization
1505.05770	yes	35	rejected	Variational Inference with Normalizing Flows
1607.00653	yes	35	done	node2vec: Scalable Feature Learning for Networks
1906.12269	yes	35	done	Certifiable Robustness and Robust Training for Graph Convolutional Networks
2105.06339	yes	35	done	Graph Learning based Recommender Systems: A Review
2112.14772	yes	35	done	Deep Graph Clustering via Dual Correlation Reduction
2206.10071	yes	35	done	BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
2302.06114	yes	35	done	A Comprehensive Survey on Graph Summarization With Graph Neural Networks
2305.13656	yes	35	done	Link Prediction without Graph Neural Networks
2403.01475	yes	35	done	Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
2404.00225	yes	35	done	Heterogeneous Contrastive Learning for Foundation Models and Beyond
2501.09178	yes	35	done	Enhancing Graph Representation Learning with Localized Topological Features
2506.09738	yes	35	done	Towards multimodal graph large language model
2506.16654	yes	35	done	Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures
2507.16541	yes	35	done	A Comprehensive Data-centric Overview of Federated Graph Learning
2506.04653	yes	34	done	The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
1806.09231	yes	34	done	Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
2006.13866	yes	34	rejected	Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
2201.11903	yes	34	rejected	Chain of Thought Prompting Elicits Reasoning in Large Language Models
2203.15935	yes	34	done	Graph Neural Networks in IoT: A Survey
2206.12411	yes	34	done	Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
2304.10031	yes	34	done	Architectures of Topological Deep Learning: A Survey on Topological Neural Networks
2308.08963	yes	34	done	CONVERT: Contrastive Graph Clustering with Reliable Augmentation
2402.00447	yes	34	done	A Survey of Data-Efficient Graph Learning
2402.16374	yes	34	done	Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning
2405.04245	yes	34	done	Exploring Correlations of Self-Supervised Tasks for Graphs
2503.12563	yes	34	done	Diffusion on Graph: Augmentation of Graph Structure for Node Classification
2503.19814	yes	34	rejected	Machine learning and data-driven methods in computational surface and interface science
0906.0612	yes	33	done	Community detection in graphs
1101.3291	yes	33	done	Node Classification in Social Networks
1409.3215	yes	33	rejected	Sequence to Sequence Learning with Neural Networks
1505.07818	yes	33	rejected	Domain-Adversarial Training of Neural Networks
1511.07289	yes	33	rejected	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
1611.03199	yes	33	done	Low Data Drug Discovery with One-Shot Learning
1612.08498	yes	33	rejected	Steerable CNNs
1706.02413	yes	33	rejected	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
1901.09993	yes	33	done	Label Efficient Semi-Supervised Learning via Graph Filtering
1911.02792	yes	33	done	Machine learning for molecular simulation
2002.11867	yes	33	done	Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
2104.08691	yes	33	rejected	The Power of Scale for Parameter-Efficient Prompt Tuning
2108.11022	yes	33	rejected	Tree Decomposed Graph Neural Network
2201.13410	yes	33	done	Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
2205.06643	yes	33	pending	The design space of E(3)-equivariant atom-centred interatomic potentials
2209.13232	yes	33	done	A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
2210.13695	yes	33	done	Structure-based drug design with equivariant diffusion models
2211.08854	yes	33	done	Graph Filters for Signal Processing and Machine Learning on Graphs
2211.14732	yes	33	rejected	Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
2306.03221	yes	33	rejected	Structural Re-weighting Improves Graph Domain Adaptation
2307.16026	yes	33	done	MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
2507.13368	yes	33	done	Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiatio
2509.15024	yes	33	done	Attention Beyond Neighborhoods: Reviving Transformer for Graph Clustering
2604.09130	yes	33	done	EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers
1308.3432	yes	32	rejected	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
1606.04080	yes	32	rejected	Matching Networks for One Shot Learning
1803.02155	yes	32	rejected	Self-Attention with Relative Position Representations
1807.07984	yes	32	done	Attention Models in Graphs
1905.04497	yes	32	rejected	Stability Properties of Graph Neural Networks
1905.10990	yes	32	done	Edge Contraction Pooling for Graph Neural Networks
2002.01633	yes	32	done	Structural Deep Clustering Network
2007.12035	yes	32	rejected	The expressive power of kth-order invariant graph networks
2008.12578	yes	32	done	Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization
2010.02502	yes	32	rejected	Denoising Diffusion Implicit Models
2010.04592	yes	32	rejected	Contrastive Learning with Hard Negative Samples
2010.13902	yes	32	done	Graph Contrastive Learning with Augmentations
2101.05974	yes	32	done	Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
2105.00304	yes	32	pending	SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects
2107.00272	yes	32	done	A Survey on Graph-Based Deep Learning for Computational Histopathology
2203.13913	yes	32	done	SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
2212.03559	yes	32	done	GraphLearner: Graph Node Clustering with Fully Learnable Augmentation
2301.13694	yes	32	done	Are Defenses for Graph Neural Networks Robust?
2302.09048	yes	32	done	MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
2303.10139	yes	32	rejected	Distill n’ Explain: explaining graph neural networks using simple surrogates
2305.10738	yes	32	done	Deep Temporal Graph Clustering
2306.15427	yes	32	done	Adversarial Training for Graph Neural Networks
2308.06827	yes	32	done	Reinforcement Graph Clustering with Unknown Cluster Number
2311.14994	yes	32	done	Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
2402.05952	yes	32	done	Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques
2410.10365	yes	32	done	SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
2504.12474	yes	32	done	Integrating Structural and Semantic Signals in Text-Attributed Graphs with BiGTex
2603.21601	yes	32	rejected	Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence
1404.4679	yes	31	done	Graph based anomaly detection and description: a survey
1706.02216	yes	31	done	Inductive Representation Learning on Large Graphs
1805.01978	yes	31	rejected	Unsupervised Feature Learning via Non-parametric Instance Discrimination
1904.06690	yes	31	rejected	BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
1907.12972	yes	31	rejected	Transferability of Spectral Graph Convolutional Neural Networks
2006.03654	yes	31	rejected	DeBERTa: Decoding-enhanced BERT with Disentangled Attention
2101.00190	yes	31	rejected	Prefix-Tuning: Optimizing Continuous Prompts for Generation
2106.07594	yes	31	done	Graph Contrastive Learning Automated
2110.11842	yes	31	done	Multi-view Contrastive Graph Clustering
2206.02849	yes	31	done	A Bird’s-Eye Tutorial of Graph Attention Architectures
2304.13010	yes	31	rejected	Unstructured and structured data: Can we have the best of both worlds with large language models?
2305.13115	yes	31	done	Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention
2306.08302	yes	31	rejected	Unifying Large Language Models and Knowledge Graphs: A Roadmap
2403.09549	yes	31	done	Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
2406.00134	yes	31	done	Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
2406.14347	yes	31	done	∇2DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
2406.14683	yes	31	done	TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
2409.08036	yes	31	done	Heterogeneous Sheaf Neural Networks
2409.09957	yes	31	done	Deep Graph Anomaly Detection: A Survey and New Perspectives
2410.08473	yes	31	rejected	Deeper Insights Into Deep Graph Convolutional Networks: Stability and Generalization
2412.00315	yes	31	done	One Model for One Graph: A New Perspective for Pretraining with Cross-dataset Graphs
2507.05533	yes	31	done	Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification
2507.16991	yes	31	done	PyG 2.0: Scalable Learning on Real World Graphs
2510.22599	yes	31	done	A roadmap for curvature-based geometric data analysis and learning
2605.19050	yes	31	done	Generative Pseudo-Force Fields for Molecular Generation
2502.09365	yes	30	done	Simple Path Structural Encoding for Graph Transformers
2310.07430	yes	30	done	Non-backtracking Graph Neural Networks

Semantic Scholar crawl summary

The standalone S2 crawl page was removed to keep the development surface smaller. These counts retain the only high-signal summary from that page.

DB papers total: 2742 Crawled: 3078 Uncrawled: 0 Hit crawl limits: 18