no code implementations • 7 Feb 2024 • Ciyuan Peng, Jiayuan He, Feng Xia
This survey paper conducts a comparative analysis of existing works in multimodal graph learning, elucidating how multimodal learning is achieved across different graph types and exploring the characteristics of prevalent learning techniques.
no code implementations • 24 Mar 2023 • Ciyuan Peng, Feng Xia, Mehdi Naseriparsa, Francesco Osborne
With the explosive growth of artificial intelligence (AI) and big data, it has become vitally important to organize and represent the enormous volume of knowledge appropriately.
no code implementations • 2 Feb 2023 • Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock
However, facilitating quantum theory to enhance graph learning is in its infancy.
no code implementations • 22 Feb 2022 • Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu
The graph learning models suffer from the inability to efficiently learn graph information.