Union (Li et al., 2018)

Reported on 3 benchmarks across 1 task · 1 paper

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

Graphs3 results

Node ClassificationonBrazil Air-Traffic
Accuracy· 2018-01-22
0.466
best: 0.516 (GCN_cheby (Kipf and Welling, 2017))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606
Node ClassificationonWiki-Vote
Accuracy· 2018-01-22
46.3
best: 99.8 (DEMO-Net(weight))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606
Node ClassificationonUSA Air-Traffic
Accuracy· 2018-01-22
58.2
best: 64.7 (DEMO-Net(weight))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606