Alternatives and similar repositories for GCN_AnomalyDetection_pytorch

Users that are interested in GCN_AnomalyDetection_pytorch are comparing it to the libraries listed below

• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆47Updated 3 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆90Updated 4 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆125Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆120Updated 11 months ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆59Updated last year
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆44Updated 5 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆105Updated 3 years ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• FanzhenLiu / DAGAD
  Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
  ☆18Updated 2 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• Zjer12 / Sub
  ☆12Updated 2 years ago
• Ljiajie / Addgraph
  The code of Addgraph frame.
  ☆23Updated 3 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆180Updated 11 months ago
• WeltXing / SAGOD
  A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。
  ☆31Updated last year
• FraudDetection / FRAUDRE
  ☆35Updated 2 years ago
• graph-level-anomalies / iGAD
  ☆12Updated 2 years ago
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆57Updated 3 years ago
• D10Andy / SAD
  ☆29Updated last year
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• qiaoyu-tan / S2GAE
  ☆48Updated 2 years ago
• zhao-tong / Graph-Anomaly-Loss
  TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …
  ☆42Updated last year
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆25Updated 10 months ago
• CampanulaBells / PREM-GAD
  Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
  ☆12Updated last year
• YujieMo / SUGRL
  ☆47Updated 2 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• mike-qz-wang / ACT
  The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…
  ☆42Updated 2 years ago
• jhsk777 / SLADE
  This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
  ☆14Updated 10 months ago