Yu Lan

EvolGCN: A Co-Evolutionary Graph Convolutional Network Model for Dynamically Spatio-Temporal Anomaly Event Inference

2025 · IEEE Transactions on Dependable and Secure Computing

Accurately spatio-temporal anomaly event inference is significant to enhance society’s safety, such as crime prevention and traffic collision reduction, etc. However, it is hard to achieve good performance for its complicated process being influenced by …