Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process

• Published in: Machine Learning and Knowledge Discovery in Databases. Research Track Vol. 12975; pp. 388 - 403
• Main Authors: Ji, Yugang, Jia, Tianrui, Fang, Yuan, Shi, Chuan
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Dynamic heterogeneous graph; Graph embedding; Heterogeneous evolved attention mechanism; Heterogeneous Hawkes process

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...