The aim of CACN workshops is to bring together researchers from different scientific communities related to Computational and Learning Aspects of Networks in order to stimulate new interactions. The program includes a selection of talks by internationally recognized experts on these topics, as well as a rich poster session, open to young and senior researchers.

Invited Speakers and their talks

• Luca Becchetti (Sapienza Universita'di Roma) Approximate 2-hop neighborhoods on incremental graphs: An efficient lazy approach
• Michele Benzi (Scuola Normale Superiore, Pisa) Sensitivity of centrality and communicability measures in networks: the role of spectral gaps
• Davide Bilo'(Universita' dell'Aquila) On the Design of Distance Sensitivity Oracles with Subquadratic Space
• Nicola Guglielmi (GSSI, l'Aquila) Changing the ranking in eigenvector centrality of a weighted graph by small perturbations
• Fabio Massimo Zanzotto (Universita' di Roma Tor Vergata) Deep Neural Networks are really Complex? Building Transparent Neural Networks for Large Language Models
• Riccardo Zecchina (Universita' Bocconi, Milano) Dynamical Learning in Deep Networks

Program

Program: click here

Abstracts

Book of abstracts: click here

Registration

Participation is free of charge (registration: CLOSED). .

Scientific Committee

• Daniele Bertaccini and Andrea Clementi (University of Rome Tor Vergata, Italy)

Conference email and website

• cacn-meetings@axp.mat.uniroma2.it
• https://www.mat.uniroma2.it/bertaccini/CACN25/

Venue
Aula Gismondi, SOGENE building, Universita' di Roma "Tor Vergata", via della ricerca scientifica 1, 00133 Roma


Sponsor
The workshop is part of a series of scientific activities of the MUR Excellence Department Project MatMod@TOV (CUP E83C23000330006).