piwik-script

Deutsch Intern
    Machine Learning for Complex Networks

    Publications

    We follow an interdisciplinary publication strategy that targets key venues in data science, machine learning, and software engineering as well as journals in fields like information science, statistics, complex systems, or theoretical physics.

    Our works have been published in conferences like SIGKDD, ICSE, MSR, Graph Drawing, and SIAM Data Mining, as well as in journals like Physical Review Letters, Nature Physics, Nature Communications, Scientometrics, Empirical Software Engineering, and EPJ Data Science.

    Below, we only list the most recent publications. Please refer to the profile page of Prof. Scholtes to get an comprehensive overview of all past publications of the chair holder.

    • Timothy LaRock, Ingo Scholtes, Tina Eliassi-Rad
      Sequential Motifs in Observed Walks
      preprint, December 2021, arXiv 2112.05642
       
    • Tina Eliassi-Rad, Vito Latora, Martin Rosvall, Ingo Scholtes
      Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352)
      Dagstuhl Reports, Vol. 11, No. 7, pp. 139 -- 178, December 2021
       
    • Unai Alvarez-Rodriguez, Luka Petrovic, Ingo Scholtes
      Inference of time-ordered multibody interactions
      preprint, November 2021, arXiv 2111.14611
       
    • Christoph Gote, Ingo Scholtes and Frank Schweitzer
      Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
      In Empirical Software Engineering, May 26, 2021
      [arXiv 1911.09484] [SpringerLink]
       
    • Jürgen Hackl, Ingo Scholtes, Luka V Petrović, Vincenzo Perri, Luca Verginer, Christoph Gote
      Analysis and visualisation of time series data on networks with pathpy
      In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
       
    • Vincenzo Perri and Ingo Scholtes
      Visualisation of Temporal Network Data via Time-Aware Static Representations with HOTVis
      In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
       
    • Luka Petrović and Ingo Scholtes
      PaCo: Fast Counting of Causal Paths in Temporal Network Data
      In Proceedings of the 11th Temporal Web Analytics Workshop (TempWeb 2021) in conjunction with The Web Conference 2021, Ljubljana, Slovenia, April 2021
      [arXiv 1905.11287]
       
    • Yan Zhang, Antonios Garas and Ingo Scholtes
      Higher-order models capture changes in controllability of temporal networks
      In Journal of Physics: Complexity, Vol. 2, No. 1, January 29, 2021
      [DOI] [arXiv 1701.06331]

    • Christoph Gote, Ingo Scholtes
      git2net - Mining Time-Stamped Co-Editing Networks from Large git Repositories
      In Proceedings of the 16th International Conference on Mining Software Repositories, MSR 2019, Montreal, QC, Canada, May 2019
      [MSR 2019 Website] [arXiv 1903.10180] [DBLP BibTeX] [Reproducibility repository]
       
    • Renaud Lambiotte, Martin Rosvall, Ingo Scholtes
      From Networks to Optimal Higher-Order Models of Complex Systems
      In Nature Physics, Vol. 15, p. 313-320, March 25 2019