News

Paper Accepted #ICML2023

  • Paper Accepted #ICML2023

    Proud to announce our paper “Path Neural Networks: Expressive and Accurate Graph Neural Networks” by Giannis Nikolentzos @giannis_nikole Gaspard Michel Johannes Lutzeyer @JLutzeyer and Michalis Vazirgiannis @mvazirg accepted for presentation the prestigious #ICML2023 conference!

Interview to the Facebook Center for Data Innovation

  • Interview to the Facebook Center for Data Innovation

    Check the interview of DaSciM members to the Facebook Center for Data Innovation on novel GNN models to predict Covid-19 cases in Europe based on Facebook mobility data. See more details here.

Article on AI & Future challenge

  • Article on AI & Future challenge

    Check Prof. M. Vazirgiannis article in Annals des Mines offering a popularised presentation of AI challenges for the future. See more here.

Talk @WIMS

  • Talk @WIMS

    Prof. Vazirgiannis gave a keynote talk @WIMS (International Conference on Web Intelligence, Mining and Semantics) on July 1, 2020. See more details here.

Talk @DL4KG

  • Talk @DL4KG

    Prof. Vazirgiannis gave a keynote talk @DL4KG (Deep Learning for Knowledge Graphs) on June 2nd, 2020. See more details here.

AI Open Journal

  • AI Open Journal

    Prof. M. Vazirgiannis joins the editorial board of the new Open AI journal, see more here.

Test of Time Award

  • Test of Time Award

    We are glad to announce the scientific distinction of Prof. Jesse Read, achieving the “Test of Time Award” in ECML/PKDD 2019 for his paper from ECML PKDD 2009 with the highest impact in the field: “Classifier Chains for Multi-label Classification”, Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank (The University of Waikato). See:
    here.