Tong Zhao's repositories
graph-data-augmentation-papers
A curated list of graph data augmentation papers.
GNNs-easy-to-use
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
Graph-Anomaly-Loss
TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.
DeepFD-pyTorch
A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)
SDM2023_Graph_Data_Augmentation_Tutorial
Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
snap-research-website
https://research.snap.com/
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