📢 New preprint out! Introducing HiGP, a framework unifying graph pooling with hierarchical time series forecasting. Our end-to-end approach allows for clustering and forecasting time series at multiple levels of aggregation. Check it out: arxiv.org/abs/2305.19183

Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities Antonio Longa, Veronica Lachi, Gabriele Santin et al.. Action editor: Shinichi Nakajima. openreview.net/forum?id=pHCdM… #temporal #graphs #graph

Exciting news for all #GraphEnthusiasts! Join us in Trento from Nov 27-30 for a local meetup of the #LoG Conference. Connect with researchers, stay updated on the latest in graph learning, and foster collaboration. Register by Nov 19! Learn more at eventbrite.it/e/learning-on-…

Attended a captivating session at the #MLG workshop during ECML PKDD, exploring "The Expressive Power of Pooling in Graph Neural Networks" authored by Filippo Maria Bianchi & presented by Veronica Lachi. paper: arxiv.org/abs/2304.01575

🚀Exciting news! "The Expressive Power of Pooling in Graph Neural Networks" by Filippo Maria Bianchi and me, has been accepted at NeurIPS Conference and it's been chosen as one of the top 4 papers for an oral presentation at #mlg workshop during ECML PKDD! #NeurIPS2023 #GNN 📚 💻

Join us on Thursday with our speaker Veronica Lachi !

Hey NetPALS, have you ever wondered what Graph Neural Networks (GNNs) are? In our last seminar, Veronica Lachi from the University of Siena covered this topic extensively in her talk “Machine Learning for Graphs: Hot Trends and Emerging Frontiers”.[1/4]

First evening in New Orleans at #NeurIPS 2023 with Andrea Cini, Veronica Lachi, Daniele Zambon, Ivan Marisca and many more awesome colleagues!

Join us at the #NeurIPS2023 poster session this afternoon where Veronica Lachi and I will present the poster of our paper, "The Expressive Power of Pooling in Graph Neural Networks". See you at poster #822 from 5:00 PM to 7:00 PM

To the NeurIPS Conference Folks! Can path-aggregation increase the expressive power of GNNs? Come visit our poster at #GLFrontiers to find this out (and to appreciate the creativity of Tamara Drucks)! 11.30 in HALL C2 ;) #NeurIPS2023 #GLFrontiers

🌟 Join us this week, thursday Feb 29th, 11am EST, as Veronica Lachi Veronica Lachi presents "Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities". Don't miss out! 🚀 [Link: arxiv.org/abs/2302.01018]

Join our exclusive AI4BA Summer School and catch the opportunity to live a study-week immersed in the Tuscanian hills! AI for Biomedical Applications 🕒24-28 June 2024 📍Siena Only 14 spots available! Visit the AI4BA site! 👉🏽sites.google.com/student.unisi.… And submit your application!

🚨Today is the turn of Veronica Lachi! Veronica Lachi 👀Veronica is a Researcher working on Graph Neural Networks, with a special interest in their theoretical properties. She is particularly interested in the expressiveness of GNNs and GNNs for temporal graphs.

🚀Interested in link prediction? Discover how a simple GNN can learn structural link representation! 📜A Simple and Expressive GNN Method for Structural Link Representation Veronica Lachi will present it at Gram Workshop (ICML Conference) Francesco Ferrini Bruno Lepri andrea passerini

🧵 Ready for #ICML2024! This year me and Filippo Maria Bianchi present a method to forecast correlated time series with missing data. We compute a hierarchy of multi-scale spatiotemporal representations and adaptively combine them conditioned on the missing data pattern👇

We are glad to announce that the Learning on Graphs Conference 2025 Italian meet-up will be hosted in Siena! 🇮🇹✨️ 🗓️ Join us from December 4th to 6th. 🔜 Registration will open soon! 👉 For more information visit our website : sites.google.com/u/0/d/1XCyjW-u… #log #graphs #graphlearning #ml #siena #gnn

📢Exciting news, graph folks! Registrations for the Italian meetup of the Learning on Graphs Conference 2025 are now OPEN!😱✨️ 👉🏽 Secure your spot and register here! sites.google.com/student.unisi.… #LoG #siena #meetup #registration

🤔 How to interpret spatio-temporal data and deep learning models? 💡In our recent work with Michele Guerra and Simone Scardapane we leverage Koopman theory to design an XAI framework for spatio-temporal GNNs. 📄 Preprint: arxiv.org/abs/2410.13469 💻 Code: github.com/NGMLGroup/Koop…

Gentle reminder for those interested in the Italian Learning on Graphs Conference 2024 meetup: submissions close at the end of this week! 📅 Submit your abstract here: sites.google.com/student.unisi.…

🚀 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 Alessia Manuel Dileo (manueldileo.bsky.social) Vincent Grande Yllka Velaj Vincenzo Perri