3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
Shuo Yu, Yingbo Wang, Ruolin Li +7
Graphs are data structures used to represent irregular networks and are prevalent in numerous real-world applications. Previous methods directly model graph structures and achieve…
cs.LG2023★ 3 cited
Quantum Graph Learning: Frontiers and Outlook
Shuo Yu, Ciyuan Peng, Yingbo Wang +3
Quantum theory has shown its superiority in enhancing machine learning. However, facilitating quantum theory to enhance graph learning is in its infancy. This survey investigates t…