When BGP Goes MAD: Multi-Scale Anomaly Detection in Internet Routing
Justin Loye, Esteban Bautista, Romain Fontugne. When BGP Goes MAD: Multi-Scale Anomaly Detection in Internet Routing. Proceedings of the 2026 ACM Internet Measurement Conference (IMC ’26), ACM, Oct 2026, Karlsruhe, Germany. ⟨10.1145/3777912.3809143⟩. ⟨hal-05742349⟩
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A Tensor-Based Auto-Encoder for Anomaly Detection in Attributed Temporal Graphs
Maryam Rahmani, Claire Guilloteau, Esteban Bautista. A Tensor-Based Auto-Encoder for Anomaly Detection in Attributed Temporal Graphs. Third Workshop on Low-Rank Models and Applications (LRMA'25), Nicolas Gillis, Sep 2025, Mons, Belgium. ⟨hal-05442281⟩
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Scalable Algorithms to Measure User Influence in Social Networks
Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch, Anastasios Giovanidis, Lionel Tabourier. Scalable Algorithms to Measure User Influence in Social Networks. Mehmet Kaya; Sleiman Alhajj; Kashfia Sailunaz; Min-Yuh Day. Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection., Springer Nature Switzerland, pp.63-92, 2024, Lecture Notes in Social Networks, 978-3-031-75204-9. ⟨10.1007/978-3-031-75204-9_3⟩. ⟨hal-04317506v2⟩
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MAD: Multi-Scale Anomaly Detection in Link Streams
Esteban Bautista, Laurent Brisson, Cécile Bothorel, Grégory Smits. MAD: Multi-Scale Anomaly Detection in Link Streams. The 17th ACM International Conference on Web Search and Data Mining, Mar 2024, Mérida (Yucatan), Mexico. ⟨10.1145/3616855.3635834⟩. ⟨hal-04361052⟩
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A Frequency-Structure Approach for Link Stream Analysis
Esteban Bautista, Matthieu Latapy. A Frequency-Structure Approach for Link Stream Analysis. Temporal Network Theory, 2nd Edition., Springer International Publishing, pp.449-482, 2023, Computational Social Sciences, 978-3-031-30399-9. ⟨10.1007/978-3-031-30399-9_22⟩. ⟨hal-04086777⟩
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Link Streams as a Generalization of Graphs and Time Series
Esteban Bautista, Matthieu Latapy. Link Streams as a Generalization of Graphs and Time Series. 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI), Nov 2023, Atlanta, GA, United States. pp.150-158, ⟨10.1109/CogMI58952.2023.00030⟩. ⟨hal-04481079⟩
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A Fast Algorithm for Ranking Users by their Influence in Online Social Platforms
Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch, Anastasios Giovanidis. A Fast Algorithm for Ranking Users by their Influence in Online Social Platforms. The 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2022), Nov 2022, Istanbul, Turkey. ⟨hal-03700079v2⟩
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A Local Updating Algorithm for Personalized PageRank via Chebyshev Polynomials
Esteban Bautista, Matthieu Latapy. A Local Updating Algorithm for Personalized PageRank via Chebyshev Polynomials. Social Network Analysis and Mining, 2022, 12 (1), ⟨10.1007/s13278-022-00860-5⟩. ⟨hal-03367113⟩
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A logical approach for temporal and multiplex networks analysis
Esteban Bautista, Matthieu Latapy. A logical approach for temporal and multiplex networks analysis. The 10th International Conference on Complex Networks and their Applications, 2021, Nov 2021, Madrid, Spain. ⟨hal-03367149⟩
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Laplacian Powers for Graph-Based Semi-Supervised Learning
Esteban Bautista Ruiz. Laplacian Powers for Graph-Based Semi-Supervised Learning. Artificial Intelligence [cs.AI]. Université de Lyon, 2019. English. ⟨NNT : 2019LYSEN081⟩. ⟨tel-02476246⟩
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BGP Zombies: an Analysis of Beacons Stuck Routes
Romain Fontugne, Esteban Bautista, Colin Petrie, Yutaro Nomura, Patrice Abry, et al.. BGP Zombies: an Analysis of Beacons Stuck Routes. PAM 2019 - 20th Passive and Active Measurements Conference, Mar 2019, Puerto Varas, Chile. pp.197-209, ⟨10.1007/978-3-030-15986-3_13⟩. ⟨hal-01970596⟩
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$L^{\gamma}$ -PageRank for Semi-Supervised Learning
Esteban Bautista, Patrice Abry, Paulo Gonçalves. $L^{\gamma}$ -PageRank for Semi-Supervised Learning. Applied Network Science, 2019, 4 (57), pp.1-20. ⟨10.1007/s41109-019-0172-x⟩. ⟨hal-02063780⟩
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Fractional graph-based semi-supervised learning
Sarah de Nigris, Esteban Bautista, Patrice Abry, Konstantin Avrachenkov, Paulo Gonçalves. Fractional graph-based semi-supervised learning. International School and Conference on Network Science, Jun 2018, Paris, France. pp.1. ⟨hal-01877500⟩
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Lévy Flights for Graph Based Semi-Supervised Classification.
Esteban Bautista, Sarah de Nigris, Patrice Abry, Konstantin Avrachenkov, Paulo Gonçalves. Lévy Flights for Graph Based Semi-Supervised Classification.. 26th colloquium GRETSI, Sep 2017, Juan-Les-Pins, France. ⟨hal-01586760⟩
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Fractional Graph-based Semi-Supervised Learning
Sarah de Nigris, Esteban Bautista, Patrice Abry, Konstantin Avrachenkov, Paulo Gonçalves. Fractional Graph-based Semi-Supervised Learning. EUSIPCO 2017 - 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨hal-01586767⟩
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