[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
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Updated
Dec 29, 2021 - Python
[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Graph Learning with Generative Pretrained Transformers
Bags of Tricks in OGB (node classification) with GCNs.
Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)
A DGL implementation of "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks" (ICLR 2021).
A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"
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