Dynamic heterogeneous graph embedding via heterogeneous Hawkes process

• Main Authors: JI, Yugang, JIA, Tianrui, FANG, Yuan, SHI, Chuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: dynamic heterogeneous graph; graph embedding; heterogeneous Hawkes process; heterogeneous evolved attention mechanism; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6877; https://ink.library.smu.edu.sg/context/sis_research/article/7880/viewcontent/Dynamic_Heterogeneous_Graph_Embedding_via_Heterogeneous_Hawkes_Process.pdf
• Institution: Singapore Management University

Graph embedding, aiming to learn low-dimensional representations of nodes while preserving valuable structure information, has played a key role in graph analysis and inference. However, most existing methods deal with static homogeneous topologies, while graphs in real-world scenarios are gradually...