Chuan Shi

Examining fairness challenges in GNNs amidst changing data distributions.

Research combines graph models and language models for improved AI performance.

A new model efficiently targets nodes in GNNs with minimal changes.

CoBFormer balances local and global attention for improved graph processing.

New framework improves machine learning by focusing on molecular motifs and textual data.