Alternatives and similar repositories for OCGNN

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

• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆187Updated last year
• haoyfan / AnomalyDAE
  AnomalyDAE (ICASSP2020)
  ☆52Updated 5 years ago
• kaize0409 / GCN_AnomalyDetection
  Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
  ☆131Updated 4 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 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 …
  ☆43Updated 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆48Updated 4 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆60Updated last year
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆59Updated 3 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆94Updated 4 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆73Updated 4 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• LeiCaiwsu / StrGNN
  ☆10Updated 3 years ago
• chengw07 / NetWalk
  ☆58Updated 6 years ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆72Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆106Updated 3 years ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆27Updated 3 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆68Updated 3 years ago
• RongrongMa / GLocalKD
  Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
  ☆34Updated 3 years ago
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 3 years ago
• D10Andy / SAD
  ☆30Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• TianxiangZhao / GraphSmote
  Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
  ☆168Updated 2 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆24Updated 2 years ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆63Updated last year
• LingxiaoShawn / GLOD-Issues
  Source code and additional results for GLOD issues
  ☆12Updated 2 years ago
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆46Updated 3 months ago
• spindro / GINN
  Graph Imputation Neural Network
  ☆79Updated 5 years ago
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆54Updated 4 years ago