2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Feature Expansion for Graph Neural Networks
Jiaqi Sun, Lin Zhang, Guangyi Chen +3
Graph neural networks aim to learn representations for graph-structured data and show impressive performance, particularly in node classification. Recently, many methods have studi…
cs.LG2020★ 2 cited
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
Zhonghua Zheng, Joseph Ching, Jeffrey H. Curtis +4
The aerosol mixing state significantly affects the climate and health impacts of atmospheric aerosol particles. Simplified aerosol mixing state assumptions, common in Earth System…
math.CO2015★ 1 cited
Mixing Rates of Random Walks with Little Backtracking
Sebastian M. Cioabă, Peng Xu
Many regular graphs admit a natural partition of their edge set into cliques of the same order such that each vertex is contained in the same number of cliques. In this paper, we s…