38 citations · 54 across the 4 of their papers we have counts for
4 papers
Graph Transformers: A Survey
Ahsan Shehzad, Feng Xia, Shagufta Abid +4
Graph transformers are a recent advancement in machine learning, offering a new class of neural network models for graph-structured data. The synergy between transformers and graph…
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…
Data-Driven Decision Making in COVID-19 Response: A Survey
Shuo Yu, Qing Qing, Chen Zhang +3
COVID-19 has spread all over the world, having an enormous effect on our daily life and work. In response to the epidemic, a lot of important decisions need to be taken to save com…
Matching Algorithms: Fundamentals, Applications and Challenges
Jing Ren, Feng Xia, Xiangtai Chen +5
Matching plays a vital role in the rational allocation of resources in many areas, ranging from market operation to people's daily lives. In economics, the term matching theory is…