Paper Accepted @ ICML 2022

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Published: July 17, 2022

Our paper Neural-Symbolic Models for Logical Queries on Knowledge Graphs (Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang) has been accepted to ICML 2022! In the paper, we introduce GNN-QE, a new approach for complex logical query answering based on NBFNet.

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Graph Learning Tutorial @ ICML 2024

Published: July 22, 2024 | 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: June 18, 2024 | 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!

Visiting WWW and National University of Singapore

Published: May 15, 2024 | less than 1 minute read

A productive week in Singapore! First, gave a keynote at the workshop on Graph Foundation Models at The WebConf 2024 and participated in the panel discussion. Then, visited the group of professor Xavier Bresson at the National University of Singapore with the talk on graph foundation models - from KG reasoning to AI 4 Science. Thank you Professor Bresson for extending the invitation! Slides

Paper accepted at ICML 2024

Published: May 08, 2024 | less than 1 minute read

Our position paper Graph Foundation Models are Already Here was accepted at ICML 2024 as a spotlight paper!

Michael Galkin