Alternatives and similar repositories for H2-FDetector:

Users that are interested in H2-FDetector are comparing it to the libraries listed below

• KellyGong / SparseGAD
  ☆18Updated last year
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆45Updated last year
• Zjer12 / Sub
  ☆11Updated last year
• zjunet / AMNet
  ☆37Updated 2 years ago
• D10Andy / SAD
  ☆29Updated last year
• FraudDetection / FRAUDRE
  ☆32Updated 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆45Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆47Updated 3 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆37Updated 2 years ago
• Xtra-Computing / ConsisGAD
  ☆22Updated 11 months ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆106Updated 7 months ago
• cynricfu / MECCH
  MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
  ☆21Updated last year
• Kinseys / anomoly_detection_cogdl
  cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets
  ☆13Updated 2 years ago
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated last year
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆41Updated 2 months ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆71Updated 3 years ago
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆25Updated 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…
  ☆51Updated last year
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆102Updated 3 years ago
• blacksingular / wsdm_GDN
  [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…
  ☆20Updated last year
• THUDM / GraphCAD
  TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
  ☆31Updated 2 years ago
• hedongxiao-tju / HOG-GCN
  ☆37Updated 3 years ago
• codeshareabc / DRGCN
  ☆11Updated 4 years ago
• GraphBerry / DiG-In-GNN
  The official implementation of DiG-In-GNN (AAAI 2024)
  ☆19Updated 10 months ago
• Xtra-Computing / PMP
  ☆13Updated 11 months ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆88Updated 3 years ago
• ckldan520 / DDGCL
  code for "Self-supervised representation learning on dynamic graphs"
  ☆26Updated 3 years ago