Timetable
You can download the program and the collection of abstracts here.
Program at a glance:
*The Social Dinner will take place at the restaurant
Compagnia dei Vinattieri - Via delle Terme, 79, Siena
Program details:
Wednesday 4th December
12:00-13:00 Badge Pick-up
13:00-14:30 Lunch
14:30-15:00 Welcoming talk by Prof. Monica Bianchini and Prof. Franco Scarselli
15:00-16:00 Keynote Talk "A journey through efficient deep learning on graphs" Prof. Alessio Micheli
16:00-16:40 Coffee Break
16:40-17:00 Sponsor Highlight: QuestIt
17:00-18:00 Spotlight talks
20:00- Social Dinner (Compagnia dei Vinattieri - Via delle Terme, 79, Siena)
Thursday 5th December
9:00-10:00 Keynote Talk "Hierarchical pooling in Graph Neural Networks" Prof. Filippo Maria Bianchi
10:00-10:30 Coffee Break
10:30-11:30 Tutorial "Probabilistic Methods for Graph Prediction and Generation" Prof. Marco Podda, Federico Errica
11:30-12:30 Open Talks:
"BN-Pool: a Bayesian Nonparametric Approach for Graph Pooling" Daniele Castellana
"xAI-Drop: Don’t Use What You Cannot Explain" Vincenzo Marco De Luca
"Edge-Wise Graph-Instructed Neural Networks for Regression on Graphs" Francesco Della Santa
13:00-14:30 Lunch
14:30-15:30 Poster Session I (Palazzo Sansedoni)
"MaxCutPool: Differentiable Feature-Aware MAXCUT for Pooling in Graph Neural Networks" Carlo Abate
"NeuraGED: A GNN estimation for Graph–Edit Distance" Sara Bacconi
"Graphons: What, Why, How." Ben Cullen
"xAI-Drop: Don’t Use What You Cannot Explain" Vincenzo Marco De Luca
"Link Prediction with Physics-Inspired Graph Neural Networks" Andrea Giuseppe Di Francesco
"Tomorrow Brings Greater Knowledge: Large Language Models Join Dynamic Temporal Knowledge Graphs" Christian Di Maio
"Learning the Dynamics of Biological Networks with Deep Graph Networks" Alessandro Dipalma
"Adaptive Message Passing: learn to control oversquashing, oversmoothing, and underreaching" Federico Errica
"Let There be Direction in Hypergraph Neural Networks" Stefano Fiorini
"XAI and the Inductive Bias of Deep Graph Networks" Michele Fontanesi
15:30-16:00 Coffee Break
16:00-17:00 Poster Session II (Palazzo Sansedoni)
"Early-Exit Graph Neural Networks" Andrea Giuseppe Di Francesco
"Graph Neural Re-Ranking via Corpus Graph" Christian Giannetti
"A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation" Veronica Lachi
"Organic Molecule Generation using Latent Diffusion" Duccio Menconcelli
"A Comparison of Hyperbolic and Euclidean Graph Convolutional Architecures in Brain Connectivity Networks" Dionisia Naddeo
"Separation Power of Equivariant Neural Networks" Marco Pacini
"Is rewiring actually helpful in graph neural networks?" Domenico Tortorella
"Graphs, Context-Awareness, and Recommender Systems for Cultural Heritage Enhancement" Carmine Valentino
"Graph State-Space Models" Daniele Zambon
"Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networks" Farooq Wani
17:00- Tour of the city
Friday 6th December
9:00-10:00 Keynote Talk "Advances in Subgraph GNNs for Expressive and Efficient Learning on Graphs" Fabrizio Frasca
10:00-10:30 Coffee Break
10:30-12:00 Tutorial "Graph Deep Learning for Time Series Processing" Ivan Marisca, Andrea Cini, Daniele Zambon
12:00-13:20 Open Talks:
"Network Science meets AI" Manuel Dileo
"What is going on with oversmoothing, oversquashing, and underreaching?" Federico Errica
"Let There be Direction in Hypergraph Neural Networks" Stefano Fiorini
"Combining pretrained tabular models with static GNNs in Relational Deep Learning" Antonio Longa
13:20 - 13:30 Final Remarks
*You can download the program (PDF file) here.