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Bag of Tricks for Graph Neural Networks

Project description

gtrick: Bag of Tricks for Graph Neural Networks

Trick is all you need.

Trick

Trick Example Task Reference
Virtual Node DGL
PyG
graph Neural Message Passing for Quantum Chemistry
FLAG DGL
PyG
node*
graph
Robust Optimization as Data Augmentation for Large-scale Graphs

Benchmark

The results listed below are implemented by PyG. You can find the results of DGL in DGL Benchmark.

Graph Property Prediction: ogbg-molhiv

Trick GCN GIN
0.7690 ± 0.0053 0.7778 ± 0.0130
+Virtual Node 0.7581 ± 0.0135 0.7713 ± 0.0036
+FLAG 0.7627 ± 0.0124 0.7764 ± 0.0083

Node Property Prediction: ogbn-arxiv

Trick GCN SAGE
0.7152 ± 0.0024 0.7153 ± 0.0028
+FLAG 0.7187 ± 0.0020 0.7206 ± 0.0013

Project details


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