Alternatives and similar repositories for interbank

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

• Split-GNN / SplitGNN
  ☆24Updated 10 months ago
• AtwoodDuan / DGA-GNN
  The official implementation of the DGA-GNN algorithm.
  ☆25Updated 10 months ago
• AI4Risk / POCL
  Pre-trained Online Contrastive Learning for Insurance Fraud Detection
  ☆11Updated 10 months ago
• AI4Risk / awesome-graph-based-fraud-detection
  Awesome Graph-based Financial Fraud Detection Papers and Codes
  ☆29Updated 2 months ago
• D10Andy / SAD
  ☆29Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆44Updated 6 months ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆36Updated last year
• PonderLY / PC-GNN
  (WWW 2021) Source code of PC-GNN
  ☆105Updated 3 years ago
• Orion-wyc / GAGA
  Fraud Detection, Low Homophily, Label Utilization, Graph Mining
  ☆49Updated last year
• jwsu825 / MDGNN_BS
  This github contains the implementation of the method proposed in MDGNN_BS paper
  ☆11Updated last year
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 5 years ago
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆46Updated 11 months ago
• YesLab-Code / HTGNN
  ☆55Updated 3 years ago
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆54Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆48Updated last year
• EnyanDai / awesome-turstworthy-graph-neural-networks
  ☆24Updated 2 years ago
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆78Updated 11 months ago
• yuetan031 / TADDY_pytorch
  A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).
  ☆57Updated 3 years ago
• FudanCISL / FreeGEM
  The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.
  ☆16Updated 2 years ago
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 5 months ago
• safe-graph / RioGNN
  Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
  ☆74Updated 8 months ago
• pygod-team / data
  Data repository for PyGOD
  ☆41Updated last year
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆36Updated 2 years ago
• midas-research / sthgcn-icdm
  Code for Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting
  ☆41Updated 3 years ago
• xkLi-Allen / Awesome-GNN-in-LLMs-Papers
  ☆35Updated 6 months ago
• blacksingular / GHRN
  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…
  ☆38Updated last year
• 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
• issacchan26 / AntiMoneyLaunderingDetectionWithGNN
  Anti Money Laundering Detection using Graph Attention Network
  ☆49Updated last year
• Kaike-Zhang / DyTed
  ☆16Updated last year
• FraudDetection / FRAUDRE
  ☆35Updated 2 years ago