The paper “RDF graph summarization for first-sight structure discovery” by François Goasdoué, Paweł Guzewicz and Ioana Manolescu has been accepted for publication in the VLDB Journal. It can be found on HAL.
The full paper “SubRank: Subgraph Embeddings via a Subgraph Proximity Measure” by Oana Balalau and Sagar Goyal has been accepted for publication at the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2020).
The short paper “Toward Visual Interactive Exploration of Heterogeneous Graphs” by Irène Burger, Ioana Manolescu, Emmanuel Pietriga and Fabian Suchanek has been accepted for publication at the workshop “Search, Exploration, and Analysis in Heterogeneous Datastores” next to EDBT 2020.
Tha paper “PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems” by Azin Ghazimatin, Oana Balalau, Rishiraj Saha, Gerhard Weikum has been accepted for publication in The Thirteenth ACM International Conference on Web Search and Data Mining (WSDM’20), Feb 2020, Houston, Texas, United States.
The paper “Ontology-Based RDF Integration of Heterogeneous Data” by Maxime Buron, François Goasdoué, Ioana Manolescu and Marie-Laure Mugnier has been accepted for publication in the EDBT 2020 conference.
The demonstration “AIDEme: An active learning based system for interactive exploration of large datasets” by Enhui Huang, Luciano Di Palma, Laurent Cetinsoy, Yanlei Diao and Anna Liu has been accepted for publication at NIPS 2019.
Oana Balalau will present a talk entitled “Explainable recommendations and representation learning in graphs” at November 29, 2pm in the Thomas Flowers room of the Turing building. Oana joined our team in early November as Inria Starting Reasearcher. Title: Explainable recommendations and representation learning in graphs Abstract: In this talk, …
Paweł Guzewicz, PhD student in our team, will do a seminar on November 18 at 9:15am in Thomas Flowers room in Turing building. He will present a series of works by Tova Milo (see the references). Title: Guiding Interactive Data Analysis with Context-Sensitive Recommendations Abstract: Modern Interactive Data Analysis systems …