Fabrizio Frasca
@ffabffrasca.bsky.social
Postdoctoral Fellow at Technion — Geometric Deep Learning in some of its various forms — PhD at Imperial College London — Previously Twitter, Fabula AI and Politecnico di Milano「 心 」🌟
As last time, the talks will be 15 minutes each, with plenty of time for discussion in breakout rooms afterwards!
Join us via Zoom on Dec 18th @ 17 CET ...
... and stay tuned by subscribing to our mailing list: groups.google.com/g/graph-lear...
Join us via Zoom on Dec 18th @ 17 CET ...
... and stay tuned by subscribing to our mailing list: groups.google.com/g/graph-lear...
https://groups.google.com/g/graph-learni…
December 3, 2024 at 4:32 PM
As last time, the talks will be 15 minutes each, with plenty of time for discussion in breakout rooms afterwards!
Join us via Zoom on Dec 18th @ 17 CET ...
... and stay tuned by subscribing to our mailing list: groups.google.com/g/graph-lear...
Join us via Zoom on Dec 18th @ 17 CET ...
... and stay tuned by subscribing to our mailing list: groups.google.com/g/graph-lear...
Afterwards, Josh will help us to better understand the benefits of virtual nodes in MPNNs to mitigate problems such as over-smoothing and over-squashing: arxiv.org/abs/2405.13526.
Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity
Message passing neural networks (MPNNs) have been shown to have limitations in terms of expressivity and modeling long-range interactions. Augmenting MPNNs with a virtual node (VN) removes the localit...
arxiv.org
December 3, 2024 at 4:32 PM
Afterwards, Josh will help us to better understand the benefits of virtual nodes in MPNNs to mitigate problems such as over-smoothing and over-squashing: arxiv.org/abs/2405.13526.
First, we will hear from Emily about how to properly include homomorphism counts into graph features to make MPNNs more expressive: arxiv.org/abs/2402.08595.
Homomorphism Counts for Graph Neural Networks: All About That Basis
A large body of work has investigated the properties of graph neural networks and identified several limitations, particularly pertaining to their expressive power. Their inability to count certain pa...
arxiv.org
December 3, 2024 at 4:32 PM
First, we will hear from Emily about how to properly include homomorphism counts into graph features to make MPNNs more expressive: arxiv.org/abs/2402.08595.