Ranking Structured Objects with Graph Neural Networks

Benchmark Model Rank Results
graph-ranking-on-ogbg-molesol2-WL-GNN + CmpNN#1Kendall's Tau: 0.718
graph-ranking-on-ogbg-molesol2-WL-GNN + Rank Regression#2Kendall's Tau: 0.720
graph-ranking-on-ogbg-molesol2-WL-GNN + DirectRanker#3Kendall's Tau: 0.745
graph-ranking-on-ogbg-molesol2-WL-GNN + Utility Regression#4Kendall's Tau: 0.747
graph-ranking-on-ogbg-molfreesolv2-WL-GNN + Utility Regression#1Kendall's Tau: 0.379
graph-ranking-on-ogbg-molfreesolv2-WL-GNN + Rank Regression#2Kendall's Tau: 0.524
graph-ranking-on-ogbg-molfreesolv2-WL-GNN + DirectRanker#3Kendall's Tau: 0.525
graph-ranking-on-ogbg-molfreesolv2-WL-GNN + CmpNN#4Kendall's Tau: 0.527
graph-ranking-on-ogbg-mollipo2-WL-GNN + Utility Regression#1Kendall's Tau: 0.318
graph-ranking-on-ogbg-mollipo2-WL-GNN + Rank Regression#2Kendall's Tau: 0.332
graph-ranking-on-ogbg-mollipo2-WL-GNN + CmpNN#3Kendall's Tau: 0.503
graph-ranking-on-ogbg-mollipo2-WL-GNN + DirectRanker#4Kendall's Tau: 0.505
graph-ranking-on-zinc2-WL-GNN + DirectRanker#1Kendall's Tau: 0.894
graph-ranking-on-zinc2-WL-GNN + CmpNN#2Kendall's Tau: 0.873
graph-ranking-on-zinc2-WL-GNN + Rank Regression#3Kendall's Tau: 0.810
graph-ranking-on-zinc2-WL-GNN + Utility Regression#4Kendall's Tau: 0.803