Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
☆63Aug 13, 2025Updated 7 months ago
Alternatives and similar repositories for GGAD
Users that are interested in GGAD are comparing it to the libraries listed below
Sorting:
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆45Apr 28, 2024Updated last year
- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of …☆203Oct 14, 2025Updated 5 months ago
- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆18Aug 17, 2024Updated last year
- ☆29Dec 6, 2024Updated last year
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Jun 7, 2025Updated 9 months ago
- ☆31Aug 7, 2023Updated 2 years ago
- ☆32Jul 10, 2025Updated 8 months ago
- ☆18Dec 30, 2025Updated 2 months ago
- Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"☆48Sep 20, 2025Updated 6 months ago
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆12Dec 1, 2023Updated 2 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 2 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆31May 14, 2025Updated 10 months ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆13May 9, 2024Updated last year
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆16Dec 4, 2025Updated 3 months ago
- ☆10Jun 23, 2022Updated 3 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- ☆24Mar 15, 2024Updated 2 years ago
- ICIP 2023: Pancreas Segmentation☆20Jun 22, 2023Updated 2 years ago
- A large-scale node-classification graph benchmark that brings together both the heterophily and heterogeneity properties of real-world gr…☆38Aug 4, 2025Updated 7 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆143Jun 25, 2024Updated last year
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆31Feb 10, 2026Updated last month
- A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foun…☆166Updated this week
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆18Mar 17, 2024Updated 2 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆60Nov 17, 2021Updated 4 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆17Aug 28, 2023Updated 2 years ago
- the code of MoG☆20Aug 6, 2024Updated last year
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Aug 19, 2025Updated 7 months ago
- "GraphArena: Evaluating and Exploring Large Language Models on Graph Computation" in ICLR 2025☆32Mar 2, 2025Updated last year
- A curated list of papers on graph transfer learning (GTL).☆18Oct 23, 2023Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- A comprehensive overview of neural question generation across diverse input formats.☆58Oct 31, 2025Updated 4 months ago
- [KDD2025] Modeling Time-evolving Causality over Data Streams. https://dl.acm.org/doi/10.1145/3690624.3709283☆16Sep 18, 2025Updated 6 months ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Nov 6, 2023Updated 2 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆384Jul 10, 2023Updated 2 years ago
- Data repository for PyGOD☆49Jan 31, 2024Updated 2 years ago
- ☆12Jan 10, 2023Updated 3 years ago
- The official implementation of the DGA-GNN algorithm.☆30Jul 17, 2024Updated last year
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago