🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Congratulations to Olga Zaghen for having her Master's thesis accepted at Gram Workshop! 🎉 📜 Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians. 📎 openreview.net/pdf?id=MGQtGV5… With: Olga Steve Azzolin Lev Telyatnikov andrea passerini Pietro Lio'

And today we are ready to present our poster at #UAI2024! 😎 Polletto also joined us in this adventure, with andrea passerini Samuele Bortolotti

Great poster session today at IC2S2! Thanks to all the people that stopped by. I promise we'll have a preprint out soon! 🤞🤞

📢 We've opened a call for two researcher positions on two parallel research lines: a) Human Behaviour in the digital space -- online misinformation and disinformation spreading. b) Human Behaviour in the physical space -- urban mobility and urban digital twins. Please RT! 1/4

🚨 Excited to announce our new paper, “SpikeFlow: Automated and Flexible Analysis of ChIP-Seq Data with Spike-in Control”, now online in NAR Genomics and Bioinformatics! 🚨 🔗 academic.oup.com/nargab/article… Fulvio Chiacchiera Alessandro Romanel

🎉 looking forward to an amazing opportunity to connect with researchers in the field!

Graph data is costly to label, but active learning (AL) can help! 💰 We explore several AL techniques for graph-level regression in supervised & unsupervised settings. 🚀 Check it out 📰 sciencedirect.com/science/articl… With @HSamoaa, Linus Aronsson, Philipp Leitner (@[email protected]), Morteza Haghir Chehreghani

⚠️Check out this fascinating initiative! These disciplines address similar problems from different perspectives, and their combination holds great promise.

Explainability in GNNs isn’t just for trust and fairness—it’s a tool for improvement! 📈 Our latest work shows how explainability can be used to regularize GNN training. 📰openreview.net/forum?id=adlpu… at Learning on Graphs Conference 2024 With Vincenzo Marco De Luca Pietro Lio' andrea passerini

🚀 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

🚀 Curious about RDL explanations? In this work, Francesco Ferrini introduces a novel self-explainable GNN for RDL, leveraging multiple meta-path occurrences! 🔍🤖 Accepted Transactions on Machine Learning Research! 📄👇 🔗 openreview.net/pdf?id=8Q4qxe9… w/ andrea passerini & Manfred Jaeger

Il riscaldamento globale rende l'acqua ancora più preziosa. I grandi data center del Big Tech consumano incredibili quantità di acqua (v. quanto accade in Aragona); un motivo in più per ripensare il consumismo tecnologico e l'AI economy, e per tassare pesantemente il Big Tech.

Faithfulness of GNN explanations isn’t one-size-fits-all🧢 Our last ICLR 2026 paper breaks it down across: 1. Evaluation metrics 2. Model implementations 3. OOD generalisation w: Antonio Longa Stefano Teso andrea passerini 1/5

In LoCo-LMs, we propose a neuro-symbolic loss function to fine-tune a LM to acquire logically consistent knowledge from a domain graph, i.e. wrt. to a set of logical consistency rules. Stefano Teso antonio vergari ⚔️ not at #ICLR2025 arxiv.org/abs/2409.13724

🌐 How do connections evolve over time? Join TENET@CCS25 and dive into Temporal Networks — from traffic routing to epidemic modelling! 🕰️📊 🚀 Share your latest methods, models, & applications. 📝 Abstract deadline: May 15, 2025 📍 Siena, Italy 🇮🇹 sites.google.com/view/tenet-ccs…

Get ready for an explosive mix! 😍 HONAI🍯is Monday, June 2nd, at #NetSci2025! Catch big keynotes from Maxime Lucas  & Christopher Blöcker plus many other amazing speakers. See the full program here: hons-web.github.io/online/program… Can't wait to meet you in Maastricht! NetSci 2025

🔥 Curious about where machine learning meets network science? Join our panel at #NetSci2025 as ML pros and network scientists tackle the big questions: When? Why? How? Discover how these worlds collide—and how to make the most of it. Don't miss out!

HONAI 2025: Higher-Order Networks meets AI 🍯 is now underway at NetSci 2025! Our first keynote, Maxime Lucas, has just taken the stage.