Alternatives and similar repositories for AnomalyDAE

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

• WangXuhongCN / OCGNN
  my implement of my paper
  ☆63Updated 3 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆47Updated 3 years ago
• kaize0409 / GCN_AnomalyDetection
  Code for Deep Anomaly Detection on Attributed Networks (SDM2019)
  ☆131Updated 3 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆91Updated 4 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆56Updated last year
• 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
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆57Updated 3 years ago
• RongrongMa / GLocalKD
  Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
  ☆34Updated 3 years ago
• agoodge / LUNAR
  LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
  ☆44Updated last week
• LingxiaoShawn / GLAM
  Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
  ☆12Updated 2 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆74Updated 3 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆181Updated last year
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• chengw07 / NetWalk
  ☆58Updated 5 years ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆26Updated 2 years ago
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆44Updated 5 years ago
• Ljiajie / Addgraph
  The code of Addgraph frame.
  ☆23Updated 3 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• FraudDetection / FRAUDRE
  ☆35Updated 2 years ago
• Zjer12 / Sub
  ☆13Updated 2 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• jweihe / ADA-GAD
  Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).
  ☆23Updated last month
• 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
• 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
• kaize0409 / GraphUCB_AnomalyDetection
  Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks
  ☆14Updated 4 years ago
• LeiCaiwsu / StrGNN
  ☆10Updated 3 years ago
• FanzhenLiu / DAGAD
  Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
  ☆18Updated 2 years ago
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• sambaranban / ONE
  Outlier Aware Network Embedding for Attributed Networks
  ☆19Updated 5 years ago