Meta-inductive node classification across graphs

• Main Authors: WEN, Zhihao, FANG, Yuan, LIU, Zemin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: graph neural networks; semi-supervised node classification; inductive graph model; meta-learning; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6883; https://ink.library.smu.edu.sg/context/sis_research/article/7886/viewcontent/SIGIR21_MIGNN.pdf
• Institution: Singapore Management University

Semi-supervised node classification on graphs is an important research problem, with many real-world applications in information retrieval such as content classification on a social network and query intent classification on an e-commerce query graph. While traditional approaches are largely transdu...