GAT-GC (f-Scaled)

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Graphs2 results

Graph ClassificationonREDDIT-B
Accuracy· 2019-07-04
92.57
best: 93.15 (CRaWl)
SOTA
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation arXiv:1907.02204
Graph ClassificationonENZYMES
Accuracy· 2019-07-04
58.45
best: 78.39 (DSGCN-allfeat)
SOTA
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation arXiv:1907.02204

Methodology2 results

ClassificationonREDDIT-B
Accuracy· 2019-07-04
92.57
best: 93.15 (CRaWl)
SOTA
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation arXiv:1907.02204
ClassificationonENZYMES
Accuracy· 2019-07-04
58.45
best: 78.39 (DSGCN-allfeat)
SOTA
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation arXiv:1907.02204