Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

Delete all

Learning and inference methods for dynamic complex networks

2016/21/D/ST6/02948

Keywords:

relational learning and inference dynamic networks complex networks

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_12: Scientific computing, simulation and modelling tools

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Wrocławska

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Tomasz Kajdanowicz 

Number of co-investigators in the project: 3

Call: SONATA 11 - announced on 2016-03-15

Amount awarded: 292 050 PLN

Project start date (Y-m-d): 2017-02-21

Project end date (Y-m-d): 2022-02-20

Project duration:: 60 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Sprzęt komputerowy (21 000 PLN)

Information in the final report

  • Publication in academic press/journals (8)
  • Articles in post-conference publications (4)
  • Book publications / chapters in book publications (4)
  1. AttrE2vec: Unsupervised attributed edge representation learning
    Authors:
    Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
    Academic press:
    Information Sciences (rok: 2022, tom: 592, strony: 82-96), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2022.01.048 - link to the publication
  2. FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings
    Authors:
    Piotr Bielak, Kamil Tagowski, Maciej Falkiewicz, Tomasz Kajdanowicz, Nitesh V. Chawla
    Academic press:
    Knowledge-Based Systems (rok: 2022, tom: 236, strony: 45310), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2021.107453 - link to the publication
  3. Where should I publish? Heterogeneous, networks-based prediction of paper's citation success
    Authors:
    Rajmund Klemiński, Przemyslaw Kazienko, Tomasz Kajdanowicz
    Academic press:
    Journal of Informetrics (rok: 2021, tom: 15, strony: 45311), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.joi.2021.101200 - link to the publication
  4. On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy
    Authors:
    Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko
    Academic press:
    Complexity (rok: 2017, tom: 3250301, strony: 45303), Wydawca: HINDAWI
    Status:
    Published
    DOI:
    10.1155/2017/3250301 - link to the publication
  5. Effectiveness of research grants funded by European Research Council and Polish National Science Centre
    Authors:
    Maciej Dzieżyc, Przemysław Kazienko
    Academic press:
    Journal of Informetrics (rok: 2022, tom: 16, strony: 45317), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.joi.2021.101243 - link to the publication
  6. Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network
    Authors:
    Suman Kundu, Tomasz Kajdanowicz, Przemysław Kazienko, Nitesh Chawla
    Academic press:
    IEEE Access (rok: 2020, tom: 8, strony: 186653 - 186662), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/ACCESS.2020.3029657 - link to the publication
  7. Priority Attachment: a Comprehensive Mechanism for Generating Networks
    Authors:
    Mikołaj Morzy, Tomasz Kajdanowicz, Przemysław Kazienko, Grzegorz Miebs, Arkadiusz Rusin
    Academic press:
    Scientific Reports (rok: 2019, tom: 9, strony: 3383), Wydawca: Springer Nature
    Status:
    Published
    DOI:
    10.1038/s41598-019-40015-9 - link to the publication
  8. scikit-multilearn: A scikit-based Python environment for performing multi-label classification
    Authors:
    Piotr Szymański, Tomasz Kajdanowicz
    Academic press:
    Journal of Machine Learning Research (rok: 2019, tom: 20, strony: 45313), Wydawca: MIT Press, ISSN 1533-7928
    Status:
    Published
    DOI:
    brak - link to the publication
  1. Embedding alignment methods in dynamic networks
    Authors:
    Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz
    Conference:
    International Conference on Computational Science (rok: 2021, ), Wydawca: Springer
    Data:
    konferencja 16-18.06.2021
    Status:
    Published
  2. Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
    Authors:
    Xian Wu, Stephen Mattingl , Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
    Conference:
    29th ACM International Conference on Information & Knowledge Management (rok: 2020, ), Wydawca: Association for Computing Machinery
    Data:
    konferencja 19-23.10.2020
    Status:
    Published
  3. A Network Perspective on Stratification of Multi-Label Data
    Authors:
    Piotr Szymanski, Tomasz Kajdanowicz
    Conference:
    European Conference on Machine Learning ECML/PKDD (rok: 2017, ), Wydawca: Proceedings of Machine Learning Research
    Data:
    konferencja 18-22.09.2017
    Status:
    Published
  4. UCSG-N ET - Unsupervised Discovering of Constructive Solid Geometry Tree
    Authors:
    Kacper Kania, Maciej Zięba, Tomasz Kajdanowicz
    Conference:
    34th Conference on Neural Information Processing Systems (rok: 2020, ), Wydawca: Neural Information Processing Systems Foundation
    Data:
    konferencja 6-12.12.2020
    Status:
    Published
  1. Distributed Processing of Networked Data
    Authors:
    Przemysław Kazienko, Wojciech Indyk, Tomasz Kajdanowicz, Roman Bartusiak
    Book:
    Encyclopedia of Social Network Analysis and Mining (rok: 2017, tom: 1, strony: 45298), Wydawca: Springer
    Status:
    Published
  2. Collective Classification
    Authors:
    Tomasz Kajdanowicz, Przemyslaw Kazienko
    Book:
    Encyclopedia of Social Network Analysis and Mining (rok: 2017, tom: 1, strony: 45304), Wydawca: Springer
    Status:
    Published
  3. Incremental Learning in Dynamic Networks for Node Classification
    Authors:
    Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Przemyslaw Kazienko
    Book:
    Network Intelligence Meets User Centered Social Media Networks, Lecture Notes in Social Networks (rok: 2018, tom: -, strony: 133-142), Wydawca: Springer, Cham
    Status:
    Published
  4. Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis
    Authors:
    Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
    Book:
    Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science (rok: 2017, tom: 1, strony: 772-781), Wydawca: Springer
    Status:
    Published

O Narodowym Centrum Nauki

Finansowanie nauki

Współpraca zagraniczna

Centrum prasowe

Deklaracja dostępności
Przetwarzanie danych osobowych
Polityka cookies

Partnerzy