[Chen2025] PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection in Arxiv, 2025. Time series ... [Lin2024] UniGAD: Unifying Multi-level Graph Anomaly Detection in NeurIPS, ...

Process mining describes the technologies that use data to help businesses better understand their processes based on captured event logs extracted from information systems, relational databases, or ...

A graph neural network (GNN)-based anomaly detection and self-healing framework for supply chain logistics. This system constructs dynamic similarity graphs using enriched order-level features, ...

With the rapid advancement of network technologies, ensuring the security of network communications has become increasingly critical. Network traffic anomaly detection plays a pivotal role in ...