Baseline Coverage Gaps

Datasets missing common GNN or MLP baseline families

Baseline Coverage Gaps

Datasets in this report are missing one of the baseline families we usually want on the leaderboard for context.

No GCN/GIN/GraphSAGE Baseline (38)

Benchmark	Dataset	Task	Metric	Results	Present Families
CosmoBench	CAMELS-SAM	graph_regression	R^2	0	—
CosmoBench	CS-Trees	graph_regression	R2	0	—
CosmoBench	CS-Trees-200	graph_classification	Accuracy	0	—
CosmoBench	Quijote	graph_regression	R^2	0	—
DualEquiNet RNA Benchmarks	COVID	node_regression	RMSE	32	—
DualEquiNet RNA Benchmarks	Ribonanza	node_regression	RMSE	20	—
DualEquiNet RNA Benchmarks	Tc-Ribo	graph_regression	RMSE	19	—
DualEquiNet RNA Benchmarks	TorsionAngle	node_regression	Circular MAE	8	—
ECHO Benchmark	ECHO-Energy	graph_regression	MAE	0	—
GraphBench	Algorithmic Reasoning	graph_classification	Accuracy	8	—
GraphBench	BlueSky	node_regression	MAE	0	—
GraphBench	Bridges	edge_classification	F1	5	—
GraphBench	Chip Design	graph_generation	Accuracy	0	—
GraphBench	Combinatorial Optimization	graph_regression	MAE	0	—
GraphBench	Electronic Circuits	graph_regression	MAE	0	—
GraphBench	Flow	graph_regression	MAE	5	—
GraphBench	MST	edge_classification	F1	5	—
GraphBench	Max Clique	node_classification	F1	0	—
GraphBench	Max Matching	edge_classification	F1	0	—
GraphBench	Steiner Trees	edge_classification	F1	0	—
GraphBench	Topological Sorting	node_regression	MAE	0	—
GraphBench	Weather Forecasting	node_regression	MAE	0	—
Heterogeneous Graph Benchmarks	RCDD	link_prediction	MRR	0	—
Hypergraph Benchmarks	BAT	node_classification	F1	99	—
Hypergraph Benchmarks	Congress	node_classification	Accuracy	13	—
Hypergraph Benchmarks	DBLP-CA	node_classification	Accuracy	27	mlp
Hypergraph Benchmarks	EAT	node_classification	F1	74	—
Hypergraph Benchmarks	House	node_classification	Accuracy	74	mlp
Hypergraph Benchmarks	LEN	node_classification	Accuracy	0	—
Hypergraph Benchmarks	Senate	node_classification	Accuracy	14	—
Hypergraph Benchmarks	UAT	node_classification	F1	137	—
Hypergraph Benchmarks	Walmart	node_classification	Accuracy	23	mlp
Knowledge Graphs	WN18	link_prediction	MRR	22	—
OGB	ogbl-biokg	link_prediction	MRR	23	—
Other Graph Benchmarks	MovieLens Film	node_classification	Micro-F1	7	—
Power Flow Benchmarks	Case 1	graph_regression	Accuracy	17	—
Power Flow Benchmarks	Case 2	graph_regression	Accuracy	4	—
Quantum Chemistry	MD17	graph_regression	MAE	393	—

No MLP Baseline (77)

Detailed table: 77 rows (loaded below).

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