Alternatives and similar repositories for Inductive-Graph-Representation-Learning-for-Fraud-Detection

Users that are interested in Inductive-Graph-Representation-Learning-for-Fraud-Detection are comparing it to the libraries listed below

• safe-graph / DGFraud-TF2
  A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
  ☆136Updated 3 years ago
• YingtongDou / CARE-GNN
  Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
  ☆300Updated 3 years ago
• eBay / xFraud
  ☆72Updated 2 years ago
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆107Updated 4 years ago
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆78Updated last year
• Roytsai27 / awesome-GNN4TDL
  Graph Neural Networks for Tabular Data Learning (GNN4TDL)
  ☆110Updated 6 months 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 …
  ☆43Updated 2 years ago
• snap-stanford / CAW
  ☆78Updated 3 years ago
• RManLuo / CP-GNN
  Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…
  ☆42Updated 4 years ago
• Split-GNN / SplitGNN
  ☆27Updated last year
• snap-stanford / roland
  ☆144Updated 2 years ago
• StatsDLMathsRecomSys / Inductive-representation-learning-on-temporal-graphs
  ☆340Updated last year
• YesLab-Code / HTGNN
  ☆64Updated 4 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 6 years ago
• squareRoot3 / Rethinking-Anomaly-Detection
  "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
  ☆195Updated last year
• FeiGSSS / DySAT_pytorch
  Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
  ☆95Updated 3 years ago
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆67Updated 2 years ago
• jackieD14 / Graph-models-in-finance-application
  Paper collection for graph based models in finance application
  ☆113Updated 4 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆86Updated 8 months ago
• TianxiangZhao / GraphSmote
  Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
  ☆172Updated 2 years ago
• alge24 / DyGNN
  ☆65Updated 5 years ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆94Updated 4 months ago
• zhao-tong / graph-data-augmentation-papers
  A curated list of graph data augmentation papers.
  ☆313Updated last year
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆30Updated last year
• shchur / overlapping-community-detection
  Implementation of "Overlapping Community Detection with Graph Neural Networks"
  ☆173Updated 5 years ago
• XiaoxiaoMa-MQ / Awesome-Deep-Graph-Anomaly-Detection
  Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…
  ☆380Updated 2 years ago
• raunakkmr / GraphSAGE-and-GAT-for-link-prediction
  GraphSAGE and GAT for link prediction.
  ☆94Updated 6 years ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆134Updated 2 years ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• yule-BUAA / R-HGNN
  codes of R-HGNN model for Heterogeneous Graph Representation Learning
  ☆47Updated 3 years ago