Node-wise localization of graph neural networks

• Main Authors: LIU, Zemin, FANG, Yuan, LIU, Chenghao, HOI, Steven C.H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: graph neural networks; FiLM; localization; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6884; https://ink.library.smu.edu.sg/context/sis_research/article/7887/viewcontent/IJCAI21_LGNN.pdf
• Institution: Singapore Management University

Graph neural networks (GNNs) emerge as a powerful family of representation learning models on graphs. To derive node representations, they utilize a global model that recursively aggregates information from the neighboring nodes. However, different nodes reside at different parts of the graph in dif...