Publications

Journals

E. Bautista, M. Latapy, “A Local Updating Algorithm for Personalized PageRank via Chebyshev Polynomials”, Social Network Analysis and Mining, 2022 [pdf, code].

E. Bautista, P. Abry, P. Gonçalves, “Lγ-PageRank for Semi-Supervised Learning”, Applied Network Science, vol. 4, no. 1, 2019 [pdf, code].

Conferences

E. Bautista, L. Brisson, C. Bothorel, G. Smiths “MAD: Multi-Scale Anomaly Detection in Link Streams”, The 17th ACM International Conference on Web Search and Data Mining (WSDM), 2024 [pdf, code].

E. Bautista, M. Latapy, “Link Streams as a Generalization of Time Series and Graphs”, The Fifth IEEE International Conference on Cognitive Machine Intelligence (CogMI), 2023 [pdf].

N. Arhachoui, E. Bautista, M. Danisch, A. Giovanidis, “A Fast Algorithm for Ranking Users by their Influence in On- line Social Platforms”, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2022 [pdf, code].

E. Bautista, M. Latapy, “A Frequency-Structure Decomposition for Link Streams” in Proceedings of the 28th colloquium GRETSI, 2022 [pdf].

R. Fontugne, E. Bautista, C. Petrie, Y. Nomura, P. Abry, P. Gonçalves, K. Fakuda, E. Aben “BGP Zombies: an Analysis of Beacons Stuck Routes”, in International Conference on Passive and Active Network Measurement (PAM), Springer, Cham, pp. 197-209, 2019 (Best paper award) [pdf, code].

S. de Nigris, E. Bautista, P. Abry, K. Avrachenkov, P. Gonçalves, “Fractional Graph-Based Semi-Supervised Learning”, The 25th European Signal Processing Conference (EUSIPCO), pp. 356-360, 2017 [pdf].

E. Bautista, S. de Nigris, P. Abry, K. Avrachenkov, P. Gonçalves, “Lévy Flights for Graph-Based Semi-Supervised Classification”, in Proceedings of the 26th colloquium GRETSI, 2017 [pdf].

Workshops

E. Bautista, M. Latapy, “A Logical Approach for Temporal and Multiplex Networks Analysis”, The 10th International Conference on Complex Networks and their Applications, 2021 [pdf].

S. de Nigris, E. Bautista, P. Abry, K. Avrachenkov, P. Gonçalves, “Fractional Graph-Based Semi-Supervised Learning”, in International School and Conference on Network Science, 2018 [pdf].

E. Bautista, S. de Nigris, P. Abry, P. Gonçalves, “L2-based PageRank for Graph-Based Semi-Supervised Learning”, in 3rd Graph Signal Processing Workshop, Lausanne (Switzerland), June 2018 [pdf].

Book chapters

E. Bautista, M. Latapy, “A Frequency-Structure Approach for Link Stream Analysis”, Temporal Network Theory, 2nd Edition, Springer Cham, 2023 [pdf].

N. Arhachoui, E. Bautista, M. Danisch, A. Giovanidis, L. Tabourier. “Scalable Algorithms to Measure User Influence in Social Networks.”, Lecture Notes in Social Networks, Springer, 2023.

PhD Thesis

Esteban Bautista Ruiz, “Laplacian Powers for Graph-Based Semi-Supervised Learning”, Université de Lyon, 2019 [pdf].

Talks

A Frequency-Structure Decomposition for Link Streams, Demokritos Research Center, Athens (Greece), March 2022.

A Frequency-Structure Decomposition for Link Streams, University of Bourgogne, Dijon (France), February 2022.

A Frequency-Structure Decomposition for Link Streams, Paris Brain Institute, Paris (France), December 2021.

A Frequency-Structure Decomposition for Link Streams, CAMS – EHESS, Paris (France), December 2021.

Fractional Semi-Supervised Learning, UNAM, Mexico City (Mexico), February 2021

Lγ-PageRank for Semi-Supervised Classification, LTS2 Seminar, EPFL, Lausanne (Switzerland), June 2019