graph anomaly detection

38 papers

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Also known as

GAD

Co-occurring keywords

graph neural network (3945) anomaly detection (740) contrastive learning (3979) representation learning (6174) node representation (107) self-supervised learning (3751) graph autoencoder (39) spectral analysis (236) semi-supervised learning (2331) unsupervised learning (3255)

Papers

Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time AAAI 2026

Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection AAAI 2026

SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs AAAI 2026

Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection AAAI 2026

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026

Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection AAAI 2026

Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint) AAAI 2026

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025

Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025

Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection IJCAI 2025

NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection IJCAI 2025

Rethinking Cancer Gene Identification Through Graph Anomaly Analysis AAAI 2025

MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection IJCAI 2025

Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts IJCAI 2025

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective IJCAI 2025

Dynamic Spectral Graph Anomaly Detection AAAI 2025

Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract) AAAI 2024

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NIPS 2024

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection AAAI 2024

Generative Semi-supervised Graph Anomaly Detection NIPS 2024

ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework IJCAI 2024

Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection IJCAI 2024

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract) AAAI 2024

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract) AAAI 2024