7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 7 cited
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Keke Huang, Yu Guang Wang, Ming Li +1
Spectral Graph Neural Networks (GNNs), alternatively known as graph filters, have gained increasing prevalence for heterophily graphs. Optimal graph filters rely on Laplacian eigen…
math.NA2019★ 4 cited
FaVeST: Fast Vector Spherical Harmonic Transforms
Quoc T. Le Gia, Ming Li, Yu Guang Wang
Vector spherical harmonics on the unit sphere of have broad applications in geophysics, quantum mechanics and astrophysics. In the representation of a tangent vector…
cs.LG2019
Fast Haar Transforms for Graph Neural Networks
Ming Li, Zheng Ma, Yu Guang Wang +1
Graph Neural Networks (GNNs) have become a topic of intense research recently due to their powerful capability in high-dimensional classification and regression tasks for graph-str…