Alternatives and similar repositories for DenseFlow_Tool

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

• lindan113 / EthereumHeist
  ☆13Updated last year
• jjzhou012 / Ethident
  ☆18Updated last year
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆56Updated last year
• kaize0409 / GCN_AnomalyDetection_pytorch
  PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)
  ☆73Updated 3 years ago
• shifengzhao / H2-FDetector
  ☆30Updated 2 years ago
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆24Updated 9 months ago
• git-disl / EllipticPlusPlus
  Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses
  ☆95Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆115Updated 10 months ago
• git-disl / ZipZap
  ☆12Updated last year
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆124Updated last year
• D10Andy / SAD
  ☆29Updated last year
• XuexiongLuoMQ / ComGA
  The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.
  ☆36Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆104Updated 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.
  ☆60Updated last year
• GeZhangMQ / eFraudCom
  ☆16Updated 3 years ago
• Kinseys / anomoly_detection_cogdl
  cogdl based GNN model for anomoly detection on Amazon & YelpChi datasets
  ☆13Updated 2 years ago
• ki-ljl / GNNs-for-Node-Classification
  Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…
  ☆134Updated last year
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆45Updated 3 years ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• MGitHubL / Chinese-Reading-Notes-of-Graph-Learning
  ☆80Updated 5 months ago
• likuanppd / GOOD-AT
  The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
  ☆12Updated 11 months ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆33Updated 5 months ago
• Xtra-Computing / ConsisGAD
  ☆22Updated last year
• THUDM / GraphCAD
  TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf
  ☆31Updated 2 years ago
• Xtra-Computing / Awesome-Literature-ILoGs
  Awesome literature on imbalanced learning on graphs
  ☆76Updated 8 months ago
• zjunet / AMNet
  ☆38Updated 2 years ago
• Ljiajie / Addgraph
  The code of Addgraph frame.
  ☆23Updated 3 years ago
• lizhong2613 / GraphAnomalyDetectionDatasets
  用于图异常检测的数据集
  ☆44Updated 5 years ago
• FraudDetection / FRAUDRE
  ☆34Updated 2 years ago