Haonan Yuan

Evolving Graph Learning for Out-of-Distribution Generalization in Non-Stationary Environments

2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence

Graph neural networks have shown remarkable success in exploiting the spatial and temporal patterns on dynamic graphs. However, existing GNNs exhibit poor generalization ability under distribution shifts, which is inevitable in dynamic scenarios. As dynamic …