Louis

PhD Student @ UPC Barcelona working mostly on Topological & Geometric Learning

[Geometric Intelligence Lab @geometric_intel]

Most GNN benchmarks weren't built with biology in mind. #OgBench was. 🎉

The first benchmark for graph learning on omics data, addressing the n≪p regime across transcriptomics, proteomics, and epigenomics . ✨

Congratulations @louisacornelis @johmathe @gbg1441 @LouisVLang 🚀

[Louisa Cornelis @louisacornelis]

⁠We're releasing OgBench: the first benchmark for GNNs on omics data in the n≪p regime. Every major benchmark (OGB, TUDataset, LRGB, GraphBench) operates where the number of graphs (n) far exceeds nodes per graph (p). But biology is the opposite: few patients, massive graphs.

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

🏆 The 2026 Topological Deep Learning Challenge is officially live, now in its 4th edition! 🏆
This year’s theme is “Bridging the Gap” between the GNN and TDL worlds.

Win incredible prizes including up to $1000 in cash 💸 and AI research internships!

Submission deadline: Aug. 1

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

TopoTune is going to ICML 2025!🎉🇨🇦
Curious to try topological deep learning with your custom GNN or your specific dataset? We built this for you! Find out how to get started at https://t.co/GjNEKkvm8s

[Mathilde Papillon🦋 mathildepapillon .bsky .social @mathildepapillo]

We can’t wait to see your submissions! Full challenge guidelines and requirements are available here:
https://t.co/MVEkbP0iU9
Results announced at @TAGinDS Boston, Aug. 18–20. Participation does not require attending!
#TDLChallenge #TopologicalDeepLearning #AI #ML #TAGinDS