Graph Representation Learning via Hard and Channel-Wise Attention Networks

Benchmark Model Rank Results
graph-classification-on-collabhGANet#22Accuracy: 77.48%
graph-classification-on-ddhGANet#9Accuracy: 81.71%
graph-classification-on-imdb-mhGANet#28Accuracy: 49.06%
graph-classification-on-mutaghGANet#20Accuracy: 90.00%
graph-classification-on-proteinshGANet#14Accuracy: 78.65%
graph-classification-on-proteinscGANet#16Accuracy: 78.23%
graph-classification-on-proteinsGANet#18Accuracy: 77.92%
graph-classification-on-ptchGANet#17Accuracy: 65.02%
graph-classification-on-ptccGANet#19Accuracy: 63.53%
graph-classification-on-ptcGANet#21Accuracy: 62.94%