A research library for automating experiments on Deep Graph Networks
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Updated
Sep 9, 2024 - Python
A research library for automating experiments on Deep Graph Networks
[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
NeuroSkinning: Automatic Skin Binding for Production Characters with Deep Graph Networks, Siggraph 2019
Molecular Explanation Generator
Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"
Stanford CS224W: Machine Learning with Graphs (GNN)
Implementation of Universal Multi-Agent Reinforcement Learning via Policy Decoupling with Transformers (UDPET) on Multi-Agent Traffic Control
Official code repository for "Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks".
Some notes on Probabilistic models and advanced ML methods. Implementation of RBM, Contractive AE, Denoising AE and some TS analysis
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