Michael Galkin

Michael Galkin

Graph ML, GNNs, Geometric DL, Knowledge Graphs

Graph ML in 2022: Where Are We Now?

less than 1 minute read

Published:

A new winter holiday longread - what happened in the Graph ML field in 2021? What to expect in 2022? We reflect upon a dozen of research trends - brought by yours truly, Anton Tsitsulin, Anvar Kurmukov, and Sergey Ivanov (with a surprise cameo appearance in the end).

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Graph Learning Tutorial @ ICML 2024

Published: | less than 1 minute read

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

Published: | less than 1 minute read

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!