[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
Generative Pre-trained Graph Eulerian Transformer [ICML2025]
Bags of Tricks in OGB (node classification) with GCNs.
Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)
A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".
A DGL implementation of "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks" (ICLR 2021).
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
GNNs for protein graph classification on OGBG-PPA with GCN, GIN and baseline models.
beeHIVe: AI-powered platform for HIV drug discovery and prediction.
Exploration of vanilla GIN, GIN with edge heuristics in prediction head, Heuristics weighted Edge-GIN for link prediction in ogbl-ddi dataset
Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"
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