Simple and Efficient Heterogeneous Graph Neural Network

Benchmark Model Rank Results
heterogeneous-node-classification-on-acmSeHGNN#10Micro-F1: 93.87Claim Classification Macro-F1: 93.95
heterogeneous-node-classification-on-dblp-2SeHGNN#10Micro-F1: 95.24Macro-F1: 94.86
heterogeneous-node-classification-on-freebaseSeHGNN#8Micro-F1: 63.41Macro-F1: 50.71
heterogeneous-node-classification-on-imdbSeHGNN#10Micro-F1: 68.21Macro-F1: 66.63
heterogeneous-node-classification-on-oagSeHGNN#5NDCG: 46.75MRR: 29.11
heterogeneous-node-classification-on-oag-l1SeHGNN#3NDCG: 86.01MRR: 84.95
node-property-prediction-on-ogbn-magSeHGNN (ComplEx embs)#8Test Accuracy: 0.5719 ± 0.0012Ext. data: No
node-property-prediction-on-ogbn-magSeHGNN#9Test Accuracy: 0.5671 ± 0.0014Ext. data: No