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Post #743

@graphml

Graph Machine Learning

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Publié1 janv.01/01/2023 18:19
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🎄 It's 2023! In a new post, we provide an overview of what’s happened in Graph ML in 2022 and its subfields (and hypothesize for potential breakthroughs in 2023), including Generative Models, Physics, PDEs, Graph Transformerrs, Theory, KGs, Algorithmic Reasoning, Hardware, and more! Brought to you by Michael Galkin, Hongyu Ren, Zhaocheng Zhu with the help of Christopher Morris and Johannes Brandstetter https://mgalkin.medium.com/graph-ml-in-2023-the-state-of-affairs-1ba920cb9232