Michael Galkin

Michael Galkin

Graph ML, GNNs, Geometric DL, Knowledge Graphs

Knowledge Graphs @ ICLR 2020

less than 1 minute read

Published:

Published a review of KG-related papers from the past ICLR 2020! Among other things we’ll review what’s happening in complex QA, KG embeddings and entity matching with graph embeddings.

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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

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!