Michael Galkin

Michael Galkin

Graph ML, GNNs, Geometric DL, Knowledge Graphs

Knowledge Graphs @ ACL 2021

less than 1 minute read

Published:

Regular review of KG-related papers from ACL 2021, the major NLP research venue in the area. This time: neural databases, retrieval, KG embeddings, entity linking, QA, and a bunch of new datasets.

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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!