Guest talk by Qualcomm AI Research: Natural Graph Networks

Authors: Pim de Haan, Taco Cohen, Max Welling (2020)

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Abstract: On 17th February at 15.00 CET, the ELLIS Human-Centric Machine Learning reading group will host the first guest session receiving distinguished researchers from Qualcomm AI research and ELLIS Scholars. Pim de Haan, Research Associate at Qualcomm AI Research, will present his paper Natural Graph Networks, which explores how we can use the local symmetries of graphs to build more expressive graph networks. We will be further exploring the relationship between graph structured data and human-centric problems and applications in a round table made up by Manuel Gómez Rodríguez (MPI-SWS), Carlos Castillo (UPF) and Efstratios Gavves (director of the Qualcomm-UvA Deep Vision Lab). This relationship mainly arises from the fact that a lot of human interaction data is expressed as network structured data. Additionally, many advantages of GNNs, such as capturing complex structures between data or information flow, could lead to GNNs being an outstanding tool for addressing HCML problems. This session will be held online and is open to everyone interested in it.

Presenter: Pim de Hann (Qualcomm AI Research), Round Table: Manuel Gómez Rodríguez (MPI-SWS), Carlos Castillo (UPF) and Efstratios Gavves (Qualcomm-UvA Deep Vision Lab)

Date: 2022-02-17 15:00 (CET)