Intersection (Li et al., 2018)

Reported on 5 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.

Graphs5 results

Node ClassificationonFacebook
Accuracy· 2018-01-22
59.8
best: 91.9 (DEMO-Net(weight))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606
Node ClassificationonBrazil Air-Traffic
Accuracy· 2018-01-22
0.459
best: 0.516 (GCN_cheby (Kipf and Welling, 2017))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606
Node ClassificationonEurope Air-Traffic
Accuracy· 2018-01-22
44.3
best: 46 (GCN_cheby (Kipf and Welling, 2017))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606
Node ClassificationonFlickr
Accuracy· 2018-01-22
0.557
best: 0.682 (GCN+GAugM (Zhao et al., 2021))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606
Node ClassificationonUSA Air-Traffic
Accuracy· 2018-01-22
57.3
best: 64.7 (DEMO-Net(weight))
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning arXiv:1801.07606