Alternatives and similar repositories for conad

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

• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 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
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• KellyGong / SparseGAD
  ☆18Updated 2 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• Zjer12 / Sub
  ☆13Updated 2 years ago
• FraudDetection / FRAUDRE
  ☆35Updated 2 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 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
• blacksingular / wsdm_GDN
  [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…
  ☆21Updated 2 years ago
• D10Andy / SAD
  ☆29Updated last year
• LirongWu / GraphMixup
  Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…
  ☆23Updated 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
• yuwvandy / G2GNN
  ☆46Updated 2 years ago
• RongrongMa / GLocalKD
  Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
  ☆34Updated 3 years ago
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 3 years ago
• zjlxgxz / DynAnom
  Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"
  ☆15Updated 2 years ago
• wenzhilics / GraphSHA
  "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23
  ☆30Updated last year
• blacksingular / GHRN
  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…
  ☆38Updated last year
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• THUDM / GraphCAD
  TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
  ☆31Updated 2 years ago
• yihongma / CILG-Papers
  A curated list of papers and code related to class-imbalanced learning on graphs (CILG).
  ☆39Updated 5 months ago
• zhoushengisnoob / CKD
  Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
  ☆17Updated 3 years ago
• victorchen96 / ReNode
  Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
  ☆54Updated 3 years ago
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆75Updated 9 months ago
• 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
• jcheng66 / WGDN
  Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023
  ☆18Updated last year
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆42Updated 2 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆91Updated 4 years ago