Alternatives and similar repositories for PREM-GAD

Users that are interested in PREM-GAD are comparing it to the libraries listed below

• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆127Updated last year
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆47Updated 3 years ago
• Zjer12 / Sub
  ☆13Updated 2 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆74Updated 3 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆128Updated last year
• Ljiajie / Addgraph
  The code of Addgraph frame.
  ☆23Updated 3 years ago
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆54Updated last month
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• FanzhenLiu / DAGAD
  Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
  ☆19Updated 2 years ago
• graph-level-anomalies / iGAD
  ☆12Updated 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
• yixinliu233 / SIGNET
  [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
  ☆25Updated 11 months ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆93Updated 4 years ago
• jhsk777 / SLADE
  This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
  ☆14Updated 11 months ago
• D10Andy / SAD
  ☆29Updated last year
• betterzhou / AugAN
  Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)
  ☆14Updated 6 months ago
• fortunato-all / DiffGAD
  ☆11Updated 4 months ago
• WeltXing / SAGOD
  A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。
  ☆31Updated last year
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• UB-GOLD / UB-GOLD
  ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
  ☆56Updated 9 months ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆181Updated last year
• zjunet / AMNet
  ☆38Updated 3 years ago
• pygod-team / data
  Data repository for PyGOD
  ☆43Updated last year
• saper0 / adversarial_training
  Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…
  ☆11Updated last year
• bdi-lab / DRAG
  Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
  ☆22Updated 8 months ago
• mala-lab / TAM-master
  Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
  ☆42Updated last year
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆59Updated 3 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• JakubReha / ProvCTDG
  Implementation of the paper: "Anomaly Detection in Continuous-Time Temporal Provenance Graphs". The code follows the CTDG framework https…
  ☆18Updated last year
• LingxiaoShawn / GLAM
  Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
  ☆12Updated 2 years ago