Alternatives and similar repositories for DGA-GNN:

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

• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• shifengzhao / H2-FDetector
  ☆29Updated 2 years ago
• D10Andy / SAD
  ☆28Updated last year
• Xtra-Computing / ConsisGAD
  ☆22Updated last year
• zjunet / AMNet
  ☆37Updated 2 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆120Updated last year
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆103Updated 3 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆107Updated 9 months ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆71Updated 3 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆89Updated 3 years ago
• Split-GNN / SplitGNN
  ☆23Updated 8 months ago
• KellyGong / SparseGAD
  ☆18Updated last year
• FraudDetection / FRAUDRE
  ☆32Updated 2 years ago
• GraphBerry / DiG-In-GNN
  The official implementation of DiG-In-GNN (AAAI 2024)
  ☆20Updated 11 months ago
• Zjer12 / Sub
  ☆11Updated 2 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 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆45Updated 3 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆41Updated 4 months ago
• Xtra-Computing / PMP
  ☆14Updated last year
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• Kaslanarian / 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
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆75Updated 6 months ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆58Updated 2 years ago
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆47Updated 3 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆36Updated 10 months ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆25Updated 2 years ago
• CampanulaBells / PREM-GAD
  Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
  ☆12Updated 10 months ago
• zhengwang100 / ogc_ggcm
  Code for OGC and GGCM
  ☆14Updated 6 months ago