Topic-aware heterogeneous graph neural network for link prediction

• المؤلفون الرئيسيون: XU, Siyong, YANG, Cheng, FANG, Yuan, TIANCHI, Yang, ZHANG, Luhao
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2021
• الموضوعات: Heterogeneous graph; Graph neural networks; Representation learning; Link prediction; Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/6805; https://ink.library.smu.edu.sg/context/sis_research/article/7808/viewcontent/123.pdf

Heterogeneous graphs (HGs), consisting of multiple types of nodes and links, can characterize a variety of real-world complex systems. Recently, heterogeneous graph neural networks (HGNNs), as a powerful graph embedding method to aggregate heterogeneous structure and attribute information, has earne...