Alternatives and similar repositories for Addgraph:

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

• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆56Updated 3 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
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆44Updated 5 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆89Updated 3 years ago
• zjunet / AMNet
  ☆37Updated 2 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆71Updated 3 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
• 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
  ☆18Updated 2 years ago
• shifengzhao / H2-FDetector
  ☆29Updated 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
• 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 …
  ☆41Updated last year
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆55Updated last year
• LeiCaiwsu / StrGNN
  ☆10Updated 2 years ago
• KnowledgeDiscovery / StrGNN
  Code for structural temporal graph neural networks for anomaly detection in dynamic graphs
  ☆23Updated 9 months ago
• D10Andy / SAD
  ☆28Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆120Updated last year
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆55Updated 4 months ago
• RongrongMa / GLocalKD
  Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
  ☆32Updated 3 years ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• graph-level-anomalies / iGAD
  ☆12Updated 2 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆107Updated 9 months ago
• haoyfan / AnomalyDAE
  AnomalyDAE (ICASSP2020)
  ☆50Updated 4 years ago
• JakubReha / ProvCTDG
  Implementation of the paper: "Anomaly Detection in Continuous-Time Temporal Provenance Graphs". The code follows the CTDG framework https…
  ☆14Updated last year
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆53Updated last year
• 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
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆178Updated 9 months ago
• LingxiaoShawn / GLAM
  Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)
  ☆11Updated 2 years ago
• S-rz / THINE
  The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"
  ☆15Updated 2 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year