Michael Galkin

Michael Galkin

Graph ML, GNNs, Geometric DL, Knowledge Graphs

Knowledge Graphs in Natural Language Processing @ ACL 2020

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The anniversary post is the series of KG-related papers. It’s been one year since I started publising such digests, and we’re back to the NLP roots and ACL 2020! This time I focus on question answering, KG embeddings, graph-to-text NLG, some ConvAI and OpenIE.

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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!