Michael Galkin

Michael Galkin

Graph ML, GNNs, Geometric DL, Knowledge Graphs

Best Research Paper Award @ ISWC 2021

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Happy to announce that we received the Best Paper Award in the Research Track at International Semantic Web Conference 2021 for our work Improving Inductive Link Prediction Using Hyper-Relational Facts! Won’t be possible without the team of Mehdi Ali, Max Berrendorf, Veronika Thost, Tengfei Ma, Volker Tresp, and Jens Lehmann! GitHub

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Graph Learning Tutorial @ ICML 2024

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Participated (online) in the panel discussion with Bryan Perozzi, Michael Bronstein, and Christopher Morris on graph foundation models held during the Graph Learning Tutorial at ICML 2024, thanks Ameya and Adrian for inviting!

Foundation Models in Graph & Geometric Deep Learning

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In our new Medium blogpost with Michael Bronstein, Jianan Zhao, Haitao Mao, and Zhaocheng Zhu we discuss foundation models in Graph & Geometric DL: from the core theoretical and data challenges to the most recent models that you can try already today!