Anomaly Detection

Towards Self-Interpretable Graph-Level Anomaly Detection
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable dissimilarity compared to the majority in a …
PDF
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Multivariate time-series anomaly detection is critically important in many applications, including retail, transportation, power grid, …
PDF
Anomaly Detection in Dynamic Graphs via Transformer
Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks,e-commerce, and …
PDF DOI
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning
Anomaly detection on graphs plays a significant role in various domains, including cybersecurity, e-commerce, and financial fraud …
PDF
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Anomaly detection on attributed networks attracts considerable research interests due to wide applications of attributed networks in …
PDF