2 citations · 3 across the 5 of their papers we have counts for
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cs.SI2021
A logical approach for temporal and multiplex networks analysis
Esteban Bautista, Matthieu Latapy
Many systems generate data as a set of triplets (a, b, c): they may represent that user a called b at time c or that customer a purchased product b in store c. These datasets are t…
cs.SI2021
A Local Updating Algorithm for Personalized PageRank via Chebyshev Polynomials
Esteban Bautista, Matthieu Latapy
The personalized PageRank algorithm is one of the most versatile tools for the analysis of networks. In spite of its ubiquity, maintaining personalized PageRank vectors when the un…
cs.SI2019★ 1 cited
-PageRank for Semi-Supervised Learning
Esteban Bautista, Patrice Abry, Paulo Gonçalves
PageRank for Semi-Supervised Learning has shown to leverage data structures and limited tagged examples to yield meaningful classification. Despite successes, classification perfor…