GIN-0

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 ClassificationonCOX2
Accuracy(10-fold)· 2018-10-01
81.13
SOTA
How Powerful are Graph Neural Networks?arXiv:1810.00826
Graph ClassificationonREDDIT-B
Accuracy· 2018-10-01
92.4
best: 93.15 (CRaWl)
SOTA
How Powerful are Graph Neural Networks?arXiv:1810.00826

Methodology2 results

ClassificationonCOX2
Accuracy(10-fold)· 2018-10-01
81.13
SOTA
How Powerful are Graph Neural Networks?arXiv:1810.00826
ClassificationonREDDIT-B
Accuracy· 2018-10-01
92.4
best: 93.15 (CRaWl)
SOTA
How Powerful are Graph Neural Networks?arXiv:1810.00826