Speaker: Leonardo De Grandis
March 6th, 2026 | 11:30 am
DEIB - NECSTLab Meeting Room (Bld. 20)
Online by Zoom
Contact: Prof. Marco Santambrogio
Abstract
On Friday, March 6th, 2026, we will have a new talk for the series #NECSTFridayTalk.During this talk, we will have, as speaker, Leonardo De Grandis, PhD at Dipartimento di Elettronica, Informazione e Bioingegneria.
Graph Neural Networks are well suited for modeling heterogeneous knowledge from many domains, such as social networks, biology, and chemistry. However, the necessity of labels is often a challenge for their training, therefore self-supervised techniques represent a promising approach to learn powerful, generalizable, and transferable representations. This talk presents Graph-DINO, an adaptation of the well known DINO framework from computer vision, for self-supervised representation learning on graph-based data. The learned embeddings are also evaluated from an alignment perspective, leveraging complementary local and global alignment metrics, to examine its behavior with respect to other unsupervised methods.
The NECSTLab is a DEIB laboratory, with different research lines on advanced topics in computing systems: from architectural characteristics, to hardware-software codesign methodologies, to security and dependability issues of complex system architectures.
#NECSTLab #Computerscience
Every week, the “NECSTFridayTalk” invites researchers, professionals or entrepreneurs to share their work experiences and projects they are implementing in the “Computing Systems”.