Alternatives and similar repositories for GraphUCB_AnomalyDetection

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

• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 3 years ago
• Leo-Q-316 / ImGAGN
  Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
  ☆27Updated 3 years ago
• sambaranban / ONE
  Outlier Aware Network Embedding for Attributed Networks
  ☆19Updated 5 years ago
• shifengzhao / H2-FDetector
  ☆30Updated 2 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆46Updated 3 years ago
• zhiming-xu / conad
  Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)
  ☆26Updated 2 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 …
  ☆42Updated last year
• wyl7 / DCI-pytorch
  The pytorch implementation of DCI (SIGIR2021).
  ☆34Updated 2 years ago
• zjlxgxz / DynAnom
  Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"
  ☆15Updated 2 years ago
• KellyGong / SparseGAD
  ☆19Updated 2 years ago
• FraudDetection / FRAUDRE
  ☆34Updated 2 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• Zjer12 / Sub
  ☆12Updated 2 years ago
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆43Updated 5 months ago
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆26Updated 2 years ago
• kaize0409 / Meta-GDN_AnomalyDetection
  Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
  ☆57Updated last year
• yuwvandy / FairVGNN
  ☆26Updated 2 years ago
• blacksingular / wsdm_GDN
  [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…
  ☆21Updated last year
• wenzhilics / HomoGCL
  "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23
  ☆13Updated last year
• seven-echo / Dynamic-graph-dataset
  Dynamic graph/network dataset for dynamic graph/network embedding/representation
  ☆36Updated 5 years ago
• susheels / gnns-and-local-assortativity
  This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…
  ☆32Updated 3 years ago
• ChandlerBang / SimP-GCN
  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
  ☆60Updated 4 years ago
• zjunet / AMNet
  ☆38Updated 2 years ago
• chengw07 / NetWalk
  ☆58Updated 5 years ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• YuanchenBei / Awesome-Self-Supervised-Learning-on-Graphs-with-Heterophily
  A curated list of Heterophilous Graph Self-Supervised Learning papers.
  ☆15Updated 2 years ago
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• rootlu / MMDNE
  Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"
  ☆37Updated 3 years ago
• RongrongMa / GLocalKD
  Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)
  ☆33Updated 3 years ago
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆73Updated 3 years ago