☆38May 17, 2022Updated 3 years ago
Alternatives and similar repositories for AMNet
Users that are interested in AMNet are comparing it to the libraries listed below
Sorting:
- [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
- ☆31Jun 1, 2022Updated 3 years ago
- (WWW 2021) Source code of PC-GNN☆108Dec 26, 2021Updated 4 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆198Jun 25, 2024Updated last year
- ☆16May 5, 2023Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Oct 8, 2021Updated 4 years ago
- ☆31Aug 7, 2023Updated 2 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆304Oct 11, 2022Updated 3 years ago
- ☆19Apr 29, 2023Updated 2 years ago
- [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
- ☆37Jul 2, 2022Updated 3 years ago
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Jul 8, 2022Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆43Jul 6, 2023Updated 2 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆38Oct 13, 2022Updated 3 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Feb 29, 2024Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆100May 12, 2021Updated 4 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆45Apr 28, 2024Updated last year
- ☆14Mar 2, 2023Updated 2 years ago
- A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)☆32Oct 2, 2020Updated 5 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Sep 9, 2021Updated 4 years ago
- The code of Addgraph frame.☆23Sep 29, 2021Updated 4 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Nov 19, 2023Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆143Jun 25, 2024Updated last year
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆383Jul 10, 2023Updated 2 years ago
- ☆38Dec 1, 2021Updated 4 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆136Dec 25, 2023Updated 2 years ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Jun 11, 2021Updated 4 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Oct 2, 2022Updated 3 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Feb 26, 2024Updated 2 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆66Dec 1, 2023Updated 2 years ago
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Aug 21, 2023Updated 2 years ago
- This is a repository contaning baseline code for DGraphFin Dataset☆138May 25, 2023Updated 2 years ago
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆15Dec 13, 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
- ☆18Jul 2, 2023Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆80Sep 18, 2024Updated last year