@jctopping

PhD student @UniOfOxford / Graph ML & Geometric Deep Learning

Joined July 2013
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An in-depth and very well-explained walkthrough of our recent paper (that we're presenting at ICLR tomorrow and Wednesday!) - thank you Aleksa!
Aleksa Gordić (水平问题)
@gordic_aleksa24 Apr 2022
[🥳new video🧠] You thought that the curvature of space and Ricci flow (famously used by Perelman to solve the Poincaré Conjecture) have nothing to do with deep learning? #oversquashing YT: youtu.be/zpDdvI95igc @jctopping @Francesco_dgv @b_p_chamberlain @epomqo @mmbronstein
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This Tuesday in LoGaG @Francesco_dgv @jctopping and @b_p_chamberlain present their "Understanding over-squashing and bottlenecks on graphs via curvature" arxiv.org/abs/2111.14522 - an absolute super-star paper from #iclr2022!🚀 Join the meeting here: hannes-stark.com/logag-readi… 1/2
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Thrilled that our paper "Understanding over-squashing and bottlenecks on graphs via curvature" has been accepted for an oral presentation at #ICLR2022! Big thank you to the team @Francesco_dgv @b_p_chamberlain @epomqo @mmbronstein (arxiv.org/abs/2111.14522)

Understanding over-squashing and bottlenecks on graphs via curvature

Most graph neural networks (GNNs) use the message passing paradigm, in which node features are propagated on the input graph. Recent works pointed to the distortion of information flowing from...

arxiv.org
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Great article from @PetarV_93 and @mmbronstein on another exciting year of Geometric ML to come, and excited to see our recent work on curvature rewiring and bottlenecks with @Francesco_dgv @b_p_chamberlain @epomqo and @mmbronstein featured. Bring on 2022!
Petar Veličković
@PetarV_9324 Jan 2022
Geometric & Graph ML were a 2021 highlight, with exciting fundamental research & high-profile applications. @mmbronstein and I interviewed distinguished experts to review this progress & predict 2022 trends. It's our longest post yet! See 🧵 for summary. michael-bronstein.medium.com…
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Over-squashing is a common plight of GNNs occurring when message passing fails to propagate information efficiently on the graph. In a new post, we discuss how this phenomenon can be understood and remedied through the concept of Ricci curvature michael-bronstein.medium.com…
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