Baker, Justin M.

3 publications

ICLR 2025 A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules Shih-Hsin Wang, Yuhao Huang, Justin M. Baker, Yuan-En Sun, Qi Tang, Bao Wang

NeurIPS 2025 Towards Multiscale Graph-Based Protein Learning with Geometric Secondary Structural Motifs Shih-Hsin Wang, Yuhao Huang, Taos Transue, Justin M. Baker, Jonathan Forstater, Thomas Strohmer, Bao Wang

AISTATS 2024 Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang