GCN (Kipf and Welling, 2017)

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

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

Graphs4 results

Node ClassificationonFlickr
Accuracy· 2016-09-09
0.546
best: 0.682 (GCN+GAugM (Zhao et al., 2021))
SOTA
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonFacebook
Accuracy· 2016-09-09
57.5
best: 91.9 (DEMO-Net(weight))
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonWiki-Vote
Accuracy· 2016-09-09
32.9
best: 99.8 (DEMO-Net(weight))
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907
Node ClassificationonEurope Air-Traffic
Accuracy· 2016-09-09
37.1
best: 46 (GCN_cheby (Kipf and Welling, 2017))
Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907