Antonio Longa
@AntonioLonga94
RTD-A University of Trento 🇮🇹 Graph Generation | GNN | Temporal GNN
I'm pleased to announce that our paper, titled "Generating Fine-Grained Surrogate Temporal Networks," has been accepted for publication in Communications Physics. In collaboration with @_giuliacencetti @suneman @andrea_whatever @brulepri nature.com/articles/s4200…

🎉 We’re excited to announce IWSDS 2026 will take place Feb 26 – Mar 1, 2026 in Trento🇮🇹! 🏔️✨ 📢 Call for Papers is now open! 🔗 sites.google.com/unitn.it/iwsds… #IWSDS26 #ConversationalAI @UniTrento @UniTrento_DISI
HONAI 2025: Higher-Order Networks meets AI 🍯 is now underway at NetSci 2025! Our first keynote, @maximelca, has just taken the stage.

🔥 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!
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
🌐 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…

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. @looselycorrect @tetraduzione arxiv.org/abs/2409.13724
Faithfulness of GNN explanations isn’t one-size-fits-all🧢 Our last @iclr_conf paper breaks it down across: 1. Evaluation metrics 2. Model implementations 3. OOD generalisation w: @AntonioLonga94 @looselycorrect @andrea_whatever 1/5
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.
🚀 Curious about RDL explanations? In this work, @franciferrini_ introduces a novel self-explainable GNN for RDL, leveraging multiple meta-path occurrences! 🔍🤖 Accepted @TmlrOrg! 📄👇 🔗 openreview.net/pdf?id=8Q4qxe9… w/ @andrea_whatever & Manfred Jaeger

🚀 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

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 @LogConference With Vincenzo Marco De Luca @pl219_Cambridge @andrea_whatever

⚠️Check out this fascinating initiative! These disciplines address similar problems from different perspectives, and their combination holds great promise.
📢 Call for Papers: "Network Science meets AI" special session at #ESANN2025! We are happy to announce this special session in collaboration with @ingo_S @interdonatos @frank8m 🚨Submit your 6-page paper by Nov 20, 2024. Website: tinyurl.com/2djhjnwh
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, @xLeitix, Morteza Haghir Chehreghani

🎉 looking forward to an amazing opportunity to connect with researchers in the field!
We are glad to announce that the @LogConference 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
🚨 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… @LabChiacchiera @aromanel
📢 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
🆕 JOB OPENING ➡️ Researchers in the field of Analysis and Modelling of Human Behaviour from Digital Traces 📆 Application deadline: September 9, 2024 👀 👉 buff.ly/3WNv2h7 #jobopenings #fbkjobs #hiring #openpositions #jobcalls #digitalsociety #humanBehaviour @chub_fbk
And today we are ready to present our poster at #UAI2024! 😎 Polletto also joined us in this adventure, with @andrea_whatever @samubortolotti
#NeuroSymbolic #AI 🤖 enforces constraints, but models can achieve high accuracy using wrong concepts. Can we spot when a model relies on flawed concepts and ensure #trustworthiness? Yes, with BEARS! 🐻 📢 Introducing our latest paper, accepted as a spotlight at UAI2024 !🎉📄
Great poster session today at @IC2S2! Thanks to all the people that stopped by. I promise we'll have a preprint out soon! 🤞🤞