On the feasibility of Simple Transformer for dynamic graph modeling

• Main Authors: WU, Yuxia, FANG, Yuan, LIAO, Lizi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Dynamic graphs; Transformer; graph representation learning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8710; https://ink.library.smu.edu.sg/context/sis_research/article/9713/viewcontent/Pure_Transformer_for_Dynamic_Graphs__WWW24_.pdf
• Institution: Singapore Management University

Dynamic graph modeling is crucial for understanding complex structures in web graphs, spanning applications in social networks, recommender systems, and more. Most existing methods primarily emphasize structural dependencies and their temporal changes. However, these approaches often overlook detail...