☆38Jul 2, 2022Updated 3 years ago
Alternatives and similar repositories for FRAUDRE
Users that are interested in FRAUDRE are comparing it to the libraries listed below
Sorting:
- ☆31Jun 1, 2022Updated 3 years ago
- (WWW 2021) Source code of PC-GNN☆110Dec 26, 2021Updated 4 years ago
- ☆19Apr 29, 2023Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Oct 2, 2022Updated 3 years ago
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆15Dec 13, 2022Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆53Dec 23, 2023Updated 2 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆305Oct 11, 2022Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆56Nov 22, 2024Updated last year
- Listing the research works related to risk control based on GNN and its interpretability. 1. we can learn the application of GNN in risk …☆12Sep 24, 2021Updated 4 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆200Jun 25, 2024Updated last year
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets☆14Sep 3, 2022Updated 3 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆17Aug 28, 2023Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Jun 2, 2023Updated 2 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- ☆38May 17, 2022Updated 3 years ago
- ☆31Aug 7, 2023Updated 2 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆46Jul 5, 2022Updated 3 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆134Sep 13, 2021Updated 4 years ago
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Apr 6, 2023Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆101May 12, 2021Updated 4 years ago
- ☆19Mar 21, 2022Updated 3 years ago
- Qualifying Exam Preparing☆17May 7, 2025Updated 10 months ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- ☆38Dec 1, 2021Updated 4 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆28Oct 26, 2021Updated 4 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆384Jul 10, 2023Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆80Sep 18, 2024Updated last year
- ☆28Jul 7, 2024Updated last year
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆10Jul 15, 2024Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28May 29, 2024Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆143Jun 25, 2024Updated last year
- Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"☆15Oct 1, 2023Updated 2 years ago
- ☆11Jan 23, 2021Updated 5 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆49Oct 8, 2021Updated 4 years ago
- The official implementation of the DGA-GNN algorithm.☆30Jul 17, 2024Updated last year
- Fraud detection using Graph Convolutional Networks☆13May 9, 2022Updated 3 years ago