Graph Propagation Transformer for Graph Representation Learning

Benchmark Model Rank Results
graph-property-prediction-on-ogbg-molhivGPTrans-B#4Test ROC-AUC: 0.8126 ± 0.0032Ext. data: Yes
graph-regression-on-pcqm4m-lscGPTrans-L#8Validation MAE: 0.1151
graph-regression-on-pcqm4mv2-lscGPTrans-L#6Validation MAE: 0.0809Test MAE: 0.0821
graph-regression-on-pcqm4mv2-lscGPTrans-T#8Validation MAE: 0.0833Test MAE: 0.0842
graph-regression-on-zinc-500kGPTrans-Nano#13MAE: 0.077
node-classification-on-clusterGPTrans-Nano#7Accuracy: 78.07
node-classification-on-patternGPTrans-Nano#7Accuracy: 86.734±0.008