EigenGCN-3

Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Graphs2 results

Graph ClassificationonNC1
Accuracy· 2019-04-30
0.77
SOTA
Graph Convolutional Networks with EigenPooling arXiv:1904.13107
Graph ClassificationonNCI109
Accuracy· 2019-04-30
74.9
best: 87.3 (WKPI-kcenters)
Graph Convolutional Networks with EigenPooling arXiv:1904.13107

Methodology2 results

ClassificationonNC1
Accuracy· 2019-04-30
0.77
SOTA
Graph Convolutional Networks with EigenPooling arXiv:1904.13107
ClassificationonNCI109
Accuracy· 2019-04-30
74.9
best: 87.3 (WKPI-kcenters)
Graph Convolutional Networks with EigenPooling arXiv:1904.13107