54 citations · 56 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan, Qi Zhao, Ze Ye +5
Representation learning on graphs is a fundamental problem that can be crucial in various tasks. Graph neural networks, the dominant approach for graph representation learning, are…
cond-mat.mtrl-sci2021★ 2 cited
Prediction of Carbon Nanostructure Mechanical Properties and Role of Defects Using Machine Learning
Qi Zhao, Jordan J. Winetrout, Yanxun Xu +2
Carbon fiber and graphene-based nanostructures such as carbon nanotubes (CNTs) and defective structures have extraordinary potential as strong and lightweight materials. A longstan…
cs.CG2019★ 54 cited
Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao, Yusu Wang
Recently a new feature representation and data analysis methodology based on a topological tool called persistent homology (and its corresponding persistence diagram summary) has s…