☆28Jul 7, 2024Updated last year
Alternatives and similar repositories for SplitGNN
Users that are interested in SplitGNN are comparing it to the libraries listed below
Sorting:
- ☆19Apr 29, 2023Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆143Jun 25, 2024Updated last year
- Interaction-Focused Anomaly Detection on Bipartite Node-and-Edge-Attributed Graphs☆16Aug 7, 2023Updated 2 years ago
- The official implementation of the DGA-GNN algorithm.☆30Jul 17, 2024Updated last year
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆80Sep 18, 2024Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆200Jun 25, 2024Updated last year
- (WWW 2021) Source code of PC-GNN☆110Dec 26, 2021Updated 4 years ago
- [KDD 2023] Group-based Fraud Detection Network on e-Commerce Platforms☆16Feb 16, 2024Updated 2 years ago
- Code of the paper 'Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum' published in AAAI-2024☆21Nov 2, 2025Updated 4 months ago
- ☆16Mar 13, 2024Updated 2 years ago
- ☆38Jul 2, 2022Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆29Aug 12, 2022Updated 3 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆53Dec 23, 2023Updated 2 years ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆15Sep 24, 2023Updated 2 years ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆12Feb 10, 2023Updated 3 years ago
- ☆11Mar 9, 2022Updated 4 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆135Dec 25, 2023Updated 2 years ago
- Elliptic++ Dataset: A Graph Network of Bitcoin Blockchain Transactions and Wallet Addresses☆135Nov 25, 2023Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Oct 2, 2022Updated 3 years ago
- As the most famous application of blockchain, cryptocurrency has suffered huge economic losses due to phishing scams. Our work shares phi…☆33Mar 30, 2022Updated 3 years ago
- My learning notes for ML&SYS.☆13Mar 14, 2026Updated last week
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆79Sep 13, 2021Updated 4 years ago
- 网络安全程序设计相关实验-基于OpenSSL的安全聊天系统☆10Feb 18, 2023Updated 3 years ago
- Dynamic Spectral Graph Anomaly Detection accepted by AAAI2025☆21Apr 12, 2025Updated 11 months ago
- This github contains the implementation of the method proposed in MDGNN_BS paper☆12May 9, 2024Updated last year
- A repository for financial fraud detection☆317Jun 5, 2025Updated 9 months ago
- This is the repository for the collection of Graph Neural Network for Financial Technology.☆28Jan 4, 2022Updated 4 years ago
- Curated list of Graph Neural Network Applications in Business, Finance and Banking☆106Jul 8, 2024Updated last year
- Exploring Causal Inferences in Finance with Graph Neural Networks☆17Nov 10, 2023Updated 2 years ago
- 本项目旨在利用BERT模型对金融新闻标题进行情感分析,识别新闻标题中的情感倾向(积极或消极)。通过构建一个基于BERT的情感分析系统,我们能够自动化和批量化地处理大量的金融新闻标题,从而大幅提高分析效率和准确性。这不仅有助于及时捕捉市场情绪变化,还能为投资决策提供数据支持,…☆18Jan 19, 2025Updated last year
- ☆14Feb 24, 2026Updated 3 weeks ago
- Machine learning algorithms implements with jax for machine learning in production in large scale dataset.☆14Mar 2, 2026Updated 3 weeks ago
- codes of LEGNN for Semi-supervised Node Classification☆12Jun 1, 2022Updated 3 years ago
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆14Sep 3, 2025Updated 6 months ago
- Fine Tuning Stable Diffusion on Chinese Landscape Painting Generation(基于扩散模型的中国山水画生成)☆10Apr 10, 2023Updated 2 years ago
- The PyTorch implementation for "BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection"☆58Sep 18, 2025Updated 6 months ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆15Jun 14, 2024Updated last year
- An example project for training a GraphSAGE Model, and setup a Real-time Fraud Detection Web Service(Frontend and Backend) with NebulaGra…☆39Aug 6, 2022Updated 3 years ago
- Deep Structure Learning for Fraud Detection (ICDM 2018)☆10Oct 2, 2020Updated 5 years ago