jiaxililearn / HRGCNLinks
Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"
☆12Updated last year
Alternatives and similar repositories for HRGCN
Users that are interested in HRGCN are comparing it to the libraries listed below
Sorting:
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆27Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆58Updated last year
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year
- Official PyTorch implementation of "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection" (KDD2025)☆21Updated last month
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- [Accepted by TNNLS] Source Code for Relational Redundancy-Free Graph Clustering☆12Updated last year
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆12Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated last year
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆50Updated last year
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated last month
- ☆38Updated 3 years ago
- ☆49Updated 2 months ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆42Updated 2 years ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆24Updated 3 years ago
- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of …☆121Updated last week
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆23Updated last year
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆23Updated 2 months ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆181Updated last year
- ☆49Updated 2 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆17Updated last year
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆19Updated 2 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- ☆10Updated 3 years ago
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated last year