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.
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 …
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 …
Strategies Comparison in Link Building Problem
Choosing an effective yet efficient solution to the link building problem means to select which nodes in a network should point a newcomer in order to increase its rank while …