Multi-View Collaboration Feature Fusion for Protein Function Prediction

This paper proposes a multi-view collaboration feature fusion approach for protein function prediction. By integrating diverse biological views and leveraging collaborative feature learning, the method achieves improved prediction accuracy on protein function benchmarks.

Published in Journal of Chemical Information and Modeling (JCIM), 2025. (SCI Q2 Top, 中科院2区Top)

First author.