Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings

Benchmark Model Rank Results
graph-classification-on-enzymesδ-2-LWL#31Accuracy: 58.2%
graph-classification-on-imdb-bδ-2-LWL#29Accuracy: 73.4%
graph-classification-on-imdb-mδ-2-LWL#20Accuracy: 50.5%
graph-classification-on-nci1δ-2-LWL#9Accuracy: 85.5%
graph-classification-on-nci109δ-2-LWL#3Accuracy: 84.7
graph-classification-on-proteinsδ-2-LWL#67Accuracy: 74.60%
graph-classification-on-ptcδ-2-LWL#24Accuracy: 62.70%
graph-classification-on-reddit-bδ-2-LWL#8Accuracy: 89.0
graph-regression-on-zinc-fullδ-2-GNN#11Test MAE: 0.042±0.003
graph-regression-on-zinc-fullδ-2-LGNN#12Test MAE: 0.045±0.006