24 citations · 24 across the 4 of their papers we have counts for
6 papers
Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs
Duygu Sezen Islakoglu, Mel Chekol, Yannis Velegrakis
Most knowledge graph completion (KGC) methods learn latent representations of entities and relations of a given graph by mapping them into a vector space. Although the majority of…
Emergent circulation patterns from anonymized mobility data: Clustering Italy in the time of Covid
Jules Morand, Shoichi Yip, Yannis Velegrakis +3
Using anonymized mobility data from Facebook users and publicly available information on the Italian population, we model the circulation of people in Italy before and during the e…
School reopening should be guided by solid evidence and mitigation measures against Covid-19
R. Battiston, F. Carinci, A. Ferretti +12
The debate on the role of school closures as a mitigation strategy against the spread of Covid-19 is gaining relevance due to emerging variants in Europe. According to WHO, decisio…
Discovering Dense Correlated Subgraphs in Dynamic Networks
Giulia Preti, Polina Rozenshtein, Aristides Gionis +1
Given a dynamic network, where edges appear and disappear over time, we are interested in finding sets of edges that have similar temporal behavior and form a dense subgraph. Forma…
Mining Dense Subgraphs with Similar Edges
Polina Rozenshtein, Giulia Preti, Aristides Gionis +1
When searching for interesting structures in graphs, it is often important to take into account not only the graph connectivity, but also the metadata available, such as node and e…
BLADYG: A Graph Processing Framework for Large Dynamic Graphs
Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
Recently, distributed processing of large dynamic graphs has become very popular, especially in certain domains such as social network analysis, Web graph analysis and spatial netw…