Michael Galkin

Michael Galkin

Graph ML, GNNs, Geometric DL, Knowledge Graphs

Knowledge Graphs @ AAAI 2020

less than 1 minute read

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Here is a fresh digest of KG-related papers in the NLP context from the past AAAI 2020! We’ll check out new stuff in KG-augmented Language Models, GNN-based entity matching, news on link prediction especially in the temporal dimension, and finally some new papers in ConvAI and Knowledge Graph Question Answering!

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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!