DS3Lab / DyHGNLinks
Code for the paper submission: "Modelling graph dynamics in fraud detection with ``Attention""
☆11Updated 3 years ago
Alternatives and similar repositories for DyHGN
Users that are interested in DyHGN are comparing it to the libraries listed below
Sorting:
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆42Updated 2 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆27Updated 2 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 10 months ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆39Updated 3 years ago
- Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".☆54Updated 3 years ago
- Multi-label Node Classification☆13Updated last year
- ☆35Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- ☆57Updated 3 years ago
- ☆29Updated 2 years ago
- Deep Graph Outlier Detection☆67Updated last year
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆30Updated last month
- Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network☆26Updated 4 years ago
- Code for the paper "Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification" - ICDM 2019☆12Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆184Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆43Updated 4 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- KDD'22☆64Updated 2 years ago
- heterogeneous graph attention network for SMEs bankruptcy prediction☆12Updated 4 years ago
- ☆10Updated 4 years ago
- PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"☆48Updated last year
- codes of LEGNN for Semi-supervised Node Classification☆12Updated 3 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago
- Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection (ICDMW 2023)☆22Updated 8 months ago
- ☆25Updated 2 years ago
- A collection of graph contrastive learning methods.☆18Updated 3 years ago