Manuel Dileo (manueldileo.bsky.social)
@ManuelDileo
PhD Student @ University of Milan. Former visiting PGR at @InfAtEd. Network science and machine learning on temporal graph. Former Google DSC Lead. Whovian
🚀 Excited to announce our Special Issue in Applied Network Science: "Bridging Network Science and AI"! 🌐🤖 Let's explore how network science and AI synergize to advance research on complex systems and develop new predictive models. @springer1842 👉 link.springer.com/collections/ha…
Pinterest: arxiv.org/abs/1806.01973 Google Maps: arxiv.org/abs/2108.11482 Amazon: amazon.science/publications/p… Uber Eats: uber.com/en-GB/blog/ube… AirBnb: medium.com/airbnb-enginee… Alibaba: arxiv.org/abs/1902.08730 Spotify: arxiv.org/abs/2403.05185 LinkedIn: arxiv.org/abs/2402.11139
I'm excited for this one! See you in Maastricht 🙌🙌
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
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
Learn how to use torch.compile to speed-up AI workloads by 35%! We share practical lessons on using torch.compile to optimize for dynamic shapes, avoiding recompilation triggers, and fixing graph breaks. kumo.ai/research/speed…
Our position paper "Network Science meets AI: A Converging Frontier" is out! doi.org/10.14428/esann… Take also a look to my work in progress curated list of papers on the intersection between NetSci and AI at gitHub.com/manuel-dileo/a…
Happy to share that our work won the best paper award at ESANN 2025! 🚀 Huge thanks to my amazing co-authors @zignoai @PMinervini ✨ Read here: doi.org/10.14428/esann…
🌟Call for Reviewers!🌟 We are currently recruiting reviewers for our upcoming workshop and would love to have your expertise on board! Timeline: May 2025 📝 Please sign up here: docs.google.com/forms/d/e/1FAI… Thank you for supporting the workshop!
I really like this paper, particularly comment re temporal graphs and how even simple heuristics can outperform widely used TGNNs. It’s a great reminder that when things scale up, getting the fundamentals right is critical 🙏 Maya Bechler-Speicher, @benfinkelshtein, @ffabffrasca,…
* Graph Learning Will Lose Relevance Due To Poor Benchmarks * Maya Bechler-Speicher, @benfinkelshtein, @ffabffrasca, Luis Muller, et al. Inc. @mmbronstein @phanein @michael_galkin @chrsmrrs Wow we should be discussing / acting on this!
A cool work where Network Science helps ML in mechanistic interpretability of Graph Transformers 🚀🚀🚀
Our first attempts at mechanistic interpretability of Transformers from the perspective of network science and graph theory! A wonderful collaboration with superstars @elb4tu, Deepro Choudhury, @pl219_Cambridge as part of the Geometric Deep Learning class at @Cambridge_CL!
Introducing the all new Le Chat: your ultimate AI sidekick for life and work! Now live on web and mobile!
🚀 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…
From social ties to financial transactions - networks never stop growing! 🌱 Submit your research on network evolution for our new Special Issue in Applied Network Science called “Evolution of Networks”! Early submissions get early reviews! ⌛️ @pholme @springer1842