• WHERE
    Virtual

    WHEN
    Thursday to Friday
    Aug 19 to 20, 2021

Prof. Toyo Suzumura

Professor - University of Tokyo

Prof. Toyotaro Suzumura is a professor at the University of Tokyo since April 2021. He also serves as a visiting professor at Barcelona Supercomputing Center in Spain. His current research interests are graph neural networks and their application to e-commerce, medical science, finance, etc. After obtaining PhD in computer science in 2004 from the Tokyo Institute of Technology, he has 17-year experiences from 2004 to 2021 in IBM Research as a principal research scientist in global research labs including Tokyo(2004-2013), Dublin(2013-2015), and IBM T.J Watson Research Center and MIT-IBM Watson AI Lab in New York (2015-2021). As for his research achievements, he has won an international competition related to large-scale graph processing named Graph500 10 times since 2014. He has published more than 90 papers to top-tier international conferences and journals and served as a PC chair of IEEE BigData 2017 as well as serving program committee members in numerous international conferences such as AAAI, ACM/IEEE Supercomputing and IEEE Cloud.

All Sessions by Prof. Toyo Suzumura

  • Day 2

    August 20, 2021

  • 13:00  - 13:45
    Most of the entities in the world are connected via any kind of relationship such as social networks, mobile networks, financial networks, user-product relationships. A graph (or network) is a natural way to represent such representations. Recently graph neural networks are getting paid a lot of attention from industries and academia to perform representation learning on graphs with neural networks so that we can use learned embedding for downstream tasks such as community detection, recommender systems,  anomaly detection, and so forth. This talk covers an introduction to graph neural networks and their applications to various areas.
    Advances in AI




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Prof. Toyo Suzumura