GCN_cheby (Kipf and Welling, 2017)

Reported on 5 benchmarks across 1 task · 1 paper · 4 SOTA

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

Graphs5 results

Node ClassificationonFacebook
Accuracy· 2016-09-09
64.6
best: 91.9 (DEMO-Net(weight))
SOTA
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonBrazil Air-Traffic
Accuracy· 2016-09-09
0.516
SOTA
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonWiki-Vote
Accuracy· 2016-09-09
49.5
best: 99.8 (DEMO-Net(weight))
SOTA
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonEurope Air-Traffic
Accuracy· 2016-09-09
46
SOTA
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonFlickr
Accuracy· 2016-09-09
0.479
best: 0.682 (GCN+GAugM (Zhao et al., 2021))
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907