Alternatives and similar repositories for TGSL

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

• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆60Updated 4 years ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• zjunet / AMNet
  ☆38Updated 3 years ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆135Updated 2 years ago
• shifengzhao / H2-FDetector
  ☆31Updated 3 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
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆53Updated 2 years ago
• CampanulaBells / PREM-GAD
  Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
  ☆13Updated last year
• pygod-team / data
  Data repository for PyGOD
  ☆48Updated 2 years ago
• jhsk777 / SLADE
  This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]
  ☆15Updated last year
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆99Updated 4 years ago
• bdi-lab / DRAG
  Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)
  ☆27Updated last year
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆141Updated last year
• 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
• FanzhenLiu / DAGAD
  Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022
  ☆20Updated 2 years ago
• Kaike-Zhang / DyTed
  ☆16Updated 2 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆37Updated 3 years ago
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆64Updated 2 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆78Updated 4 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆196Updated last year
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• S-rz / THINE
  The codes of IJCAI 2021 paper "Temporal Heterogeneous Information Network Embedding"
  ☆15Updated 3 years ago
• YesLab-Code / HTGNN
  ☆67Updated 4 years ago
• qiaoyu-tan / S2GAE
  ☆50Updated 3 years ago
• meettyj / HGMAE
  Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".
  ☆66Updated 2 years ago
• Zjer12 / Sub
  ☆14Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆53Updated last year
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆45Updated 6 years ago