Co-Attention Graph Pooling for Efficient Pairwise Graph Interaction Learning
Author:
Affiliation:
1. Department of Computer Science and Engineering, Korea University, Seoul, South Korea
2. LG AI Research, Seoul, South Korea
3. Department of Medicine, Korea University College of Medicine, Seoul, South Korea
Funder
National Research Foundation of Korea
Ministry of Science and ICT of Korea Supervised by the Institute of Information and Communications Technology Planning and Evaluation
Korea Health Industry Development Institute
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10196307.pdf?arnumber=10196307
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4. A graph distance metric based on the maximal common subgraph
5. Graph matching networks for learning the similarity of graph structured objects;li;Proc Int Conf Mach Learn,2019
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