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Stars
The official implementation of the paper "MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection"
Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts" (IJCAI25)
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
Official PyTorch implementation of "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection" (KDD2025)
Implementation of "Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One", IEEE Transactions on Pattern Analysis and Machine Intelligence.
yzfxmu / SCR
Forked from THUDM/SCRSCR: Training Graph Neural Networks with Consistency Regularization
Attribute-guided Sampling for Graph Neural Network, Large Scale algorithm for Heterophilic Graphs
The official implementation of DiG-In-GNN (AAAI 2024)
How Powerful are Spectral Graph Neural Networks
[WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.
Counterfactual Graph Learning for Anomaly Detection on Attributed Networks, IEEE TKDE 2023
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
Fighting against Organized Fraudsters using Risk Diffusion-based Parallel Graph Neural Network
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Transformer-based Spectral Graph Neural Networks
"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"