Paper-Conference

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

wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction

Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide range of domains. In this paper we propose …

Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks

Food Recommendation in a Worksite Canteen.

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

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 …

Learning fine-grained search space pruning and heuristics for combinatorial optimization

Combinatorial optimization problems arise in a wide range of applications from diverse domains. Many of these problems are NP-hard and designing efficient heuristics for them …

Strategies comparison in link building problem

A network-based analysis to understand food-habits of a multi-company canteen's customers

A PageRank Inspired Approach to Measure Network Cohesiveness

Basics of PageRank algorithm have been widely adopted in its variations, tailored for specific scenarios. In this work, we consider the Black Hole metric, an extension of the …