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 」🌟

GLOW is returning on 𝗠𝗮𝗿𝗰𝗵 𝟮𝟲𝘁𝗵, 𝟱𝗽𝗺 𝗖𝗘𝗧 with a special guest: @petar-v.bsky.social 🌟 He will lecture on LLMs as GNNs – a topic which received quite some attention at our last session. Specifically, we will learn how Graph ML tools can help understand LLM generalisation

Apply if you are working on Geometric Deep Learning! Had such a great experience as a student in the past year. This year I will be joining as a mentor along with so many other great researchers! Hope to see you in London ☺️

LOGML Summer School@logml.bsky.social · last yr.

Join one of the exciting projects led by: @ffabffrasca.bsky.social, Caterina Graziani, Anthea Monod & Omer Bobrowski, Guadalupe Gonzalez & Chirag Agarwal, @sukjulian.bsky.social, Vijay Prakash Dwivedi, Michael Murray, Yasha Ektefaie, Edward Hirst, Tancredi Schettini Gherardini

I am honestly so surprised about how happy people are with ChatGPT for coding and maths. In the last couple of days, I asked it to implement some quite basic algorithms and maths questions, and each time it did not do particularly well and most times I gave up after a couple of minutes.

Today at NeurIPS: Weisfeiler and Leman go Loopy: A New Hierarchy for Graph Representational Learning Cycles are important for predictive tasks on chemical molecules. We allow message passing along neighboring paths. Our architecture can subgraph-count cycles and homomorphism-count cactus graphs.

Visual depiction of r-lGIN: During preprocessing, we calculate the path neighborhoods Nr (v) for each node v in the graph G. Paths of varying lengths are processed separately using simple GINs, and their embeddings are pooled to obtain the final graph embedding. The forward complexity scales linearly with the sizes of Nr (v), enabling efficient computation on sparse graphs.

✨EXCITING NEWS! We now have a Bluesky account!! AND registration for the 3rd Learning on Graphs conference is open 😊 It is virtual, free to attend, livestreamed, and recorded 📹 Sign up today! The conference is this coming week 😱 forms.gle/eYiDCopJGUc8...

Screen capture of LoG website. The conference is Nov 26-29, 2024. See our website for more details: https://logconference.org/.