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Talk by Mathias Niepert (NEC Labs Europe) on Neural Representation Learning for Graphs

Tue, 27 Nov 2018 14:00 - 15:30 JST

Meeting Room B, RIKEN AIP Nihombashi office

〒103-0027 Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi,Chuo-ku, Tokyo

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Description

Title:
Neural Representation Learning for Graphs

Abstract:
Graph-structured data is ubiquitous and occurs in numerous application domains. The talk will provide an overview of graph representation learning approaches such a graph convolutional networks. We show that these approaches can be understood from two different perspectives: as a special case of tensor factorizations and as instances of a class of algorithms that learn from local graph structures such as paths and neighborhoods. The talk will also discuss current work of our group including applications of graph neural networks.

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