Alternatives and similar repositories for DGA-GNN

Users that are interested in DGA-GNN are comparing it to the libraries listed below

• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆105Updated 3 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆129Updated last year
• pygod-team / data
  Data repository for PyGOD
  ☆43Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆127Updated last year
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• D10Andy / SAD
  ☆29Updated 2 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• Xtra-Computing / ConsisGAD
  ☆23Updated last year
• fortunato-all / DiffGAD
  ☆11Updated 5 months ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆73Updated 3 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• Split-GNN / SplitGNN
  ☆26Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆48Updated 8 months ago
• FraudDetection / FRAUDRE
  ☆35Updated 3 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆184Updated last year
• alexfanjn / Graph-Neural-Networks-With-Heterophily
  This repository contains the resources on graph neural network (GNN) considering heterophily.
  ☆262Updated 8 months ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆94Updated 4 years ago
• gongchenghua / Papers-Graphs-with-Heterophily
  A Survey of Learning from Graphs with Heterophily
  ☆145Updated 5 months ago
• THUDM / GraphCAD
  TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
  ☆31Updated 2 years ago
• bdi-lab / DRAG
  Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
  ☆22Updated 8 months ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆27Updated 2 years 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
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆47Updated 3 years ago
• GraphBerry / DiG-In-GNN
  The official implementation of DiG-In-GNN (AAAI 2024)
  ☆20Updated last year
• Xtra-Computing / PMP
  ☆17Updated last year
• Kinseys / anomoly_detection_cogdl
  cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets
  ☆13Updated 2 years ago
• AI4Risk / awesome-graph-based-fraud-detection
  Awesome Graph-based Financial Fraud Detection Papers and Codes
  ☆30Updated 4 months ago
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆59Updated 3 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆84Updated 8 months ago