7-class node classification Cora co-authorship hypergraph node classification (7 subject classes). Uses node-hyperedge incidence and the released node features. Clique expansion changes the input by discarding hyperedge identity. Evaluated by Accuracy.

Dataset details

Task

Cora co-authorship hypergraph node classification (7 subject classes). The primary catalog metric is Accuracy.

Data

Cora co-authorship hypergraph node classification (7 subject classes). The cataloged artifact reports 1 graphs, 7 target classes or tasks.

Features

The release represents higher-order membership with a node-hyperedge incidence relation and supplies node features where available. Some source datasets have no measured features and use documented synthetic features; clique expansion is an alternative representation that discards hyperedge identity.

Splits and evaluation

The catalog records these protocols or variants: Standard split. Evaluation uses Accuracy (higher is better). Exact masks or folds must come from the cited release.

Quirks and pitfalls

Do not silently replace incidence propagation with clique expansion or merge distinct releases sharing a short name. Random synthetic features, split seeds, hyperedge multiplicity, and isolated-node handling can dominate results and must be reported.

Sources

SOTA Progression

new SOTA matches SOTA at that time other proposed result other baseline result

Leaderboard

#ModelAccuracy ↑Paper
1
HAN (full batch)
0.8404 ± 0.0102
2
AllSetTransformer
0.8363 ± 0.0147
3
UniGCNII
0.8360 ± 0.0114
4
HGNN
0.8264 ± 0.0165
5
HCHA
0.8255 ± 0.0097
6
EDGNN
0.8236 ± 0.0072
7
GIL
0.8204 ± 0.0127
8
AllDeepSets
0.8197 ± 0.0150
9
UniGNN2
0.8171 ± 0.0142
10
HyperGCN
0.7948 ± 0.0208
11
HGCN
0.7872 ± 0.0042
12
HNHN
0.7719 ± 0.0149
13
CECGN
0.7705 ± 0.0126
14
A6
0.7621 ± 0.0126
15
CEGAT
0.7616 ± 0.0119
16
A2
0.7562 ± 0.0142
17
A1
0.7545 ± 0.0154
18
A3
0.7534 ± 0.0140
19
A4
0.7529 ± 0.0156
20
GCN
0.7516 ± 0.0065
21
MLP
0.7431 ± 0.0189
22
Con
0.7322 ± 0.0165
23
Self
0.7274 ± 0.0153
24
A5
0.7261 ± 0.0186
25
SetGNN
0.7221 ± 0.0151
26
A0
0.7185 ± 0.0162
SOTA performance set a new SOTA at the time matched the SOTA at the time