Alternatives and similar repositories for POCL

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

• AI4Risk / interbank
  Interbank Risk Rating: Datasets and Methods
  ☆23Updated last year
• THUDM / GraphCAD
  TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
  ☆33Updated 3 years ago
• lllyyq1121 / UniGAD
  ☆28Updated 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…
  ☆39Updated 2 years ago
• kaize0409 / Awesome-Graph-OOD
  ☆83Updated last year
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆30Updated last year
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆196Updated last year
• Split-GNN / SplitGNN
  ☆28Updated last year
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆60Updated 4 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆54Updated 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 …
  ☆43Updated 2 years ago
• Emory-Melody / GraphSlim
  [NeurIPS 2025] A Python library for graph reduction including condensation, coarsening, and sparsification.
  ☆29Updated 2 months ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆65Updated 2 years ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• FraudDetection / FRAUDRE
  ☆37Updated 3 years ago
• LingxiaoShawn / GLAM
  Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
  ☆12Updated 3 years ago
• EnyanDai / awesome-turstworthy-graph-neural-networks
  ☆25Updated 3 years ago
• aravind-sundaresan / Graph-ML-Fraud-Detection
  Fraud detection in bank transactions using graph databases and machine learning.
  ☆26Updated 5 years ago
• RManLuo / CP-GNN
  Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…
  ☆42Updated 4 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• KellyGong / SparseGAD
  ☆19Updated 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 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 3 years ago
• boschresearch / GraphLevel-AnomalyDetection
  Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022
  ☆25Updated 3 years ago
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆67Updated 2 years ago
• GSL-Benchmark / GSLB
  A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
  ☆123Updated last year
• ZhiningLiu1998 / BAT
  [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类
  ☆26Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆135Updated 2 years ago
• safe-graph / DGFraud-TF2
  A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
  ☆136Updated 3 years ago
• PreckLi / RAHG
  Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
  ☆11Updated last year