Michele Malgeri

Geometric deep learning sub-network extraction for maximum clique enumeration

In this paper we propose a method based on geometric deep learning to reduce the computational complexity of the Maximum Clique Enumeration (MCE) problem. Specifically, given a …

Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms

In this paper we propose a method to reduce the running time to solve the Maximum Clique Enumeration (MCE) problem. Specifically, given a network we employ geometric deep learning …

Network Topology to Predict Bibliometrics Indices: A Case Study

Link Prediction in Time Varying Social Networks

Efficient Node PageRank Improvement via Link Building using Geometric Deep Learning

Centrality is a relevant topic in the field of network research, due to its various theoretical and practical implications. In general, all centrality metrics aim at measuring the …

Analysis of the co-authorship sub-networks of Italian academic researchers

Food Recommendation in a Worksite Canteen.

Analysis of the Co-authorship Sub-networks of Italian Academic Researchers

A Network-Based Analysis of a Worksite Canteen Dataset

Group Cohesion Assessment in Networks

Networks measurement is essential to catch and quantify their features, behaviour and/or emerging phenomena. The goal of cohesiveness metric introduced here is to establish the …