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Excited to embark on a 6-month journey at University of Oxford with Prof. Michael Bronstein and his group! Looking forward to working on graphs in such an amazing environment 👨‍🚀🚀

It's official: I'm now an ELLIS (ELLIS) PhD student! 🎉 The ELLIS PhD program aims to connect outstanding young ML researchers in Europe. Thanks to professors Cesare Alippi and Michael Bronstein (Michael Bronstein) for being my advisors on this journey 🙏

Visit your new scholar profile page! betterscholar.org BetterScholar aims to be a better alternative to Google Scholar to quickly get an overview of a scientist. It is built from scratch starting from 5 principles: 🧵

Among other things, #NorthernLights were definitely something I didn't see coming during my stay in #Oxford (~1h ago)

A dinner with old, current, and future students and postdocs

Come to visit me and Ivan Marisca tomorrow at the first poster session (11:30-13:00 - Hall C) as we present our paper #1016! #ICML2024

In a few hours, I will present HiGP at #ICML2024 😊 If you are interested in how to exploit graph-based representations and hierarchical clustering to forecast correlated time series, come and say hi at poster #907 from 1:30 to 3:00 PM 😉

A pleasure co-advising such great students 👏

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

3. Graph Deep Learning for Time Series Processing: Forecasting, Reconstruction, and Analysis by Andrea Cini, Ivan Marisca, Daniele Zambon 4. Integrating Knowledge Graphs and Large Language Models for Advancing Scientific Research by Qiang Zhang, Jiaoyan Chen, Zaiqiao Meng @ ACL 2025

🔥 Bayesian nonparametrics meets pooling in GNNs! 🔥 This is the first clustering-based pooling method that learns and dynamically adapts the size of the pooled graph to input and downstream task. 📄 paper: arxiv.org/abs/2501.09821 💻 code: github.com/NGMLGroup/Baye…

Freshly accepted as a tutorial paper in ACM Computing Surveys! 🥳 Check out the updated version: dl.acm.org/doi/abs/10.114… cc Ivan Marisca Daniele Zambon

🚨 Exciting news! We released 🎱 tgp (Torch Geometric Pool), the library for pooling in Graph Neural Networks. 🚀 Get started with our tutorials: torch-geometric-pool.readthedocs.io/en/latest/tuto… With Ivan Marisca and Carlo Abate. #GraphML #GNN #Pooling #Pyg

🚨 ICML 2025 Paper 🚨 "On Measuring Long-Range Interactions in Graph Neural Networks" We formalize the long-range problem in GNNs: 💡Derive a principled range measure 🔧 Tools to assess models & benchmarks 🔬Critically assess LRGB 🧵 Thread below 👇 #ICML2025