A DGL implementation of "DeeperGCN: All You Need to Train Deeper GCNs".
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Apr 14, 2021 - Python
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ogb
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A DGL implementation of "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks" (ICLR 2021).
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May 13, 2021 - Python
Bags of Tricks in OGB (node classification) with GCNs.
graph-convolutional-networks
gnns
node-classification
graph-neural-networks
torch-geometric
ogb
open-graph-benchmark
residual-connections
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Aug 11, 2021 - Python
Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)
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Oct 20, 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
benchmark
dropout
normalization
skip-connections
graph-neural-networks
training-tricks
deep-graph-library
deep-graph-networks
ogb
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Dec 29, 2021 - Python
Baseline Evaluation for the project "Acceleration of Neural Network Training with Microsoft DeepSpeed"
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Jun 8, 2022 - Python
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Jan 4, 2023 - Python
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Jan 14, 2023 - Python
S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.
machine-learning
deep-learning
scalability
pytorch
seal
link-prediction
graph-neural-networks
graph-representation-learning
pytorch-geometric
ogb
open-graph-benchmark
subgraph-representation-learning
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Jun 29, 2023 - Python
Graph Learning with Generative Pretrained Transformers
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Oct 13, 2024 - Python
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