Hierarchical Graph Representation Learning with Differentiable Pooling

Benchmark Model Rank Results
graph-classification-on-collabGNN (DiffPool)#23Accuracy: 75.48%
graph-classification-on-ddS2V (with 2 DiffPool)#7Accuracy: 82.07%
graph-classification-on-ddGNN (DiffPool)#12Accuracy: 80.64%
graph-classification-on-enzymesS2V (with 2 DiffPool)#23Accuracy: 63.33%
graph-classification-on-enzymesGNN (DiffPool)#24Accuracy: 62.53%
graph-classification-on-proteinsGNN (DiffPool)#45Accuracy: 76.25%
graph-property-prediction-on-ogbg-code2DiffPool w/ graphSAGE#16Test F1 score: 0.1401 ± 0.0012Ext. data: No