Alternatives and similar repositories for ConsisGAD

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

• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆141Updated last year
• Xtra-Computing / PMP
  ☆18Updated last year
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆53Updated 3 years ago
• KellyGong / SparseGAD
  ☆19Updated 2 years ago
• yuwvandy / FairVGNN
  ☆27Updated 3 years ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 4 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…
  ☆25Updated 2 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• Zjer12 / Sub
  ☆14Updated 2 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆123Updated 3 years ago
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆34Updated 3 years ago
• FraudDetection / FRAUDRE
  ☆37Updated 3 years ago
• hedongxiao-tju / HOG-GCN
  ☆38Updated 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
• 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 3 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆58Updated 2 years ago
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆74Updated last year
• LUMIA-Group / OrderedGNN
  The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
  ☆47Updated last year
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆43Updated 2 years ago
• XYGaoG / Graph-Condensation-Papers
  Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.
  ☆50Updated 7 months ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆37Updated 3 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆88Updated last year
• Newiz430 / Bandana
  [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths
  ☆12Updated last year
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated 2 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆53Updated 2 years ago
• shuaiOKshuai / Tail-GNN
  Tail-GNN: Tail-Node Graph Neural Networks
  ☆34Updated 4 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆121Updated 2 years ago
• qiaoyu-tan / S2GAE
  ☆50Updated 3 years ago