Vincenzo Perri
@vins23p
Postdoc at ISI Foundation
Infomap on steroids! @chester_tan_ @chrisbloecker and @ingo_S accelerate Infomap to work on GPUs, use node features for community detection, additionally give back overlapping communities.
Excited to share this really fun project with @chrisbloecker and @ingo_S 😄 arxiv.org/abs/2310.01144 TLDR: we optimise the map equation for graph clustering / community detection with graph neural networks to cluster both graph structure and node features end-to-end. 🧵 (1/5)
Get ready for an explosive mix! 😍 HONAI🍯is Monday, June 2nd, at #NetSci2025! Catch big keynotes from @maximelca & @chrisbloecker plus many other amazing speakers. See the full program here: hons-web.github.io/online/program… Can't wait to meet you in Maastricht! @NetSciConf
🚀 How much can Network Science boost AI? And vice versa? 🤔 Join HONS meets AI workshop at #NetSci2025 to explore these questions! 📢 Submit your work & be part of the discussion! hons-web.github.io/online/ with @alessiaantelmi @ManuelDileo @VincentPGrande @yllka_velaj @vins23p
🚀 The HONS Satellite series is back at the @NetSciConf This year's topic merges (high-order) networks and AI🍯 📢 Don't miss the chance to join us by submitting a contributed talk! ⏰ Deadline: February 14 👉🏼 More info: hons-web.github.io/online/index.h…
🌟 Higher-order networks meets AI! 🌟 HONS Satellite returns @NetSciConf with HONAI (reads like honey 🐝), diving into the sweet spot of AI & higher order! 🍯 Submit your abstract for a talk by Feb 14! 📍 See you in Maastricht! 🔗 Details: hons-web.github.io/online/index.h…
New preprint: Community Detection with the Map Equation and Infomap: Theory and Applications arxiv.org/abs/2311.04036 Explore the map equation's theoretical framework and learn to apply Infomap to diverse research problems. @antoneri @daniel_edler @chrisbloecker
Excited to share this really fun project with @chrisbloecker and @ingo_S 😄 arxiv.org/abs/2310.01144 TLDR: we optimise the map equation for graph clustering / community detection with graph neural networks to cluster both graph structure and node features end-to-end. 🧵 (1/5)
HONS teaser!! @netsci2023 @chrsmrrs - Weisfeiler and Leman Go Machine Learning: Expressivity and Generalization Abilities of Graph Neural Networks @mmbronstein - Physics-inspired GNNs @tiagopeixoto - Reconstructing networks from unreliable, incomplete, and indirect data