3 papers
cs.SI2020
Using Network Embeddings for Improving Network Alignment
Pietro Hiram Guzzi
Network (or Graph) Alignment Algorithms aims to reveal structural similarities among graphs. In particular Local Network Alignment Algorithms (LNAs) finds local regions of similari…
cs.DS2020
Top-k Connected Overlapping Densest Subgraphs in Dual Networks
Riccardo Dondi, Pietro Hiram Guzzi, Mohammad Mehdi Hosseinzadeh
Networks are largely used for modelling and analysing data and relations among them. Recently, it has been shown that the use of a single network may not be the optimal choice, sin…
cs.DS2020
Extracting Dense and Connected Subgraphs in Dual Networks by Network Alignment
Pietro Hiram Guzzi, Emanuel Salerno, Giuseppe Tradigo +1
The use of network based approaches to model and analyse large datasets is currently a growing research field. For instance in biology and medicine, networks are used to model inte…