GEM: Graph Embedding and Mining


ECML-PKDD 2020 Workshop



Due to the current uncertainty caused by COVID-19 the workshop will take place virtually. Authors will be able to present their work, attend other author/keynote presentations and interact with them using an appropriate virtual conferencing solution.

Keynote Speaker



Tijl De Bie - Ghent University

Conditional Network Embedding: Trustworthy By Design?

Tijl De Bie is currently Full Professor at the University of Ghent, having previously been affiliated to the KU Leuven, the University of Southampton, UC Berkeley, UC Davis, and Bristol University. He is most actively interested in the methodological foundations of data science, approaches for ensuring fairness, explainability, and privacy when applying data science, as well as in its applications in music informatics, web and social media mining, human resources management, computational biology, and more. He has widely published and acquired several high profile research grants in these areas, most in particular an ERC Consolidator Grant titled 'Formalizing Subjective Interestingness in Exploratory Data Mining' (FORSIED), as well as an FWO Odysseus grant titled 'Exploring Data: Theoretical Foundations and Applications to Web, multimedia, and Omics Data'.