mala-lab / Awesome-Anomaly-Detection-with-Large-Language-ModelLinks
A curated list of anomaly detection with large language model, visual large model and graph foundation model papers & resources
☆19Updated last week
Alternatives and similar repositories for Awesome-Anomaly-Detection-with-Large-Language-Model
Users that are interested in Awesome-Anomaly-Detection-with-Large-Language-Model are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection" (KDD2025)☆20Updated last week
- Official code and data repository of "Anomaly Detection with Score Distribution Discrimination", KDD' 23.☆23Updated last year
- Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts" (IJCAI25)☆18Updated 2 weeks ago
- Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"☆9Updated 11 months ago
- Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"☆12Updated last year
- A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)☆169Updated 3 months ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆41Updated last year
- Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"☆18Updated 2 years ago
- The code for the paper "AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models"☆22Updated 9 months ago
- Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources …☆107Updated this week
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- A benchmark for anomaly detection using large language models. It supports zero-shot detection, data augmentation, and model selection, w…☆23Updated 5 months ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆14Updated last year
- The collection of diffusion models for anomaly detection, a survey paper submitted to IJCAI 2025.☆32Updated 3 months ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆42Updated 2 years ago
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆11Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆51Updated 2 weeks ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆90Updated 4 years ago
- SimAD, deep learning, anomaly detection, outlier detection, time series. "SimAD: A Simple Dissimilarity-based Approach for Time Series An…☆18Updated 8 months ago
- ☆12Updated 2 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆56Updated last year
- Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.☆63Updated 10 months ago
- Official implementation of ECML PKDD'24 paper 'Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection'.☆16Updated 9 months ago
- ☆26Updated 2 weeks ago
- ☆27Updated 2 years ago
- Official code for "Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt" (AAAI2025)☆11Updated last week
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆22Updated 3 weeks ago
- ☆306Updated last month
- a time series anomaly detection method based on the calibrated one-class classifier☆65Updated last year
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆11Updated last year