Tong Zhao

A curated list of graph data augmentation papers.

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AAAI'21: Data Augmentation for Graph Neural Networks

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A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)

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An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.

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TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.

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Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning

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