Attention-based network embedding with higher-order weights and node attributes

• Main Authors: Mo, Xian, Wan, Binyuan, Tang, Rui, Ding, Junkai, Liu, Guangdi
• Format: Article
• Published: Wiley 2024
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/46062/

Network embedding aspires to learn a low-dimensional vector of each node in networks, which can apply to diverse data mining tasks. In real-life, many networks include rich attributes and temporal information. However, most existing embedding approaches ignore either temporal information or network...