This document serves as user manual for HydraGNN, a scalable graph neural network (GNN) architecture that allows for a simultaneous prediction of multiple target properties using multi-task learning ...

Gaetan Simian: PhD student (co-direction with Anthony Conway ), started February 2023. Miguel Orbegozo Rodriguez: postdoc, started September 2025. Livio Ferretti: postdoc, September 2023-February 2025 ...

Abstract: In unsupervised graph-based hashing for large-scale image retrieval, many efforts have been made to bridge the gap between the learned graph embedding and the corresponding binary codes.

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve ...