ICLR2024

Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks

Shih-Hsin Wang, Yung-Chang Hsu, Justin M. Baker, Andrea L. Bertozzi, Jack Xin, Bao Wang

被引用 6 次

摘要

x i represents the input coordinates of node i, * UPD and AGG are learnable update and aggregate equivariant functions, re-spectively, where • denotes a multiset, * N (k) i