dig.telecom-paristech.frData, Intelligence & Graphs – Télécom Paris

Data, Intelligence & Graphs – Télécom Paris Data, Intelligence & Graphs Télécom Paris Menu Home Open Positions News Research Publications Papers Books Videos Seminar People Social events Scroll down to content Home The Data, Intelligence and Graphs (DIG) team is a group of researchers at Télécom Paris working on the fundamental issues raised in databases , knowledge management , graph mining and artificial intelligence . Research interests cover theoretical foundations of data intelligence and graph systems, practical solutions and applications, as well as cognitive aspects. Check the newest version of the YAGO knowledge base! The DIG team has strong industrial collaborations: The DIG team is a proud signer of the TCS4F pledge for sustainable research in theoretical computer science . A large majority of DIG members are signers of the No free view? No review! pledge in favor of open access: Research Knowledge Bases A knowledge base is a computer-processable collection of knowledge about the world. We construct and mine such knowledge bases. YAGO : YAGO is a large ontology constructed from WordNet, Wikipedia, and other sources. We develop YAGO together with the Database department of the Max Planck Institute for Informatics in Germany. AMIE : AMIE is a project to learn patterns and rules in ontologies. We conduct this project together with the Database department of the Max Planck Institute for Informatics in Germany. NoRDF is our new project to model and extract complex information from natural language text. We are currently hiring PhDs, postdocs, and engineers! Graph Mining Graphs are a near-universal way to represent data. We are concerned with mining graphs for patterns and properties. Our particular focus is on the scalability of such approaches. scikit-network : scikit-network is a Python package for the analysis of large graphs (clustering, embedding, classification, ranking). Social Web The Web has evolved more and more into a social Web : content is produced and shared by users. In the DIG team, we follow and anticipate developments in this area. Community detection: We are investigating means to detect and distinguish social communities on the Web. Social Relations: We investigate the optimal investment in social relations from a theoretical point of view. Language and Relevance Computer science is not just about computers. In this area of research, we investigate how humans reason, and what this implies for machines. Simplicity Theory: Simplicity theory seeks to explain the relevance of situations or events to human minds. See http://www.simplicitytheory.science Relevance in natural language: The point is to retro-engineer methods to achieve meaningful and relevant speech from our understanding of human performance. Read this paper . Read more on this . Communication as social signalling: We apply game theory and social simulation to explore conditions in which providing valuable (i.e. relevant) information is a profitable strategy. Read this paper . Read more on this . Machine Learning for Data Streams We investigate how to do machine learning in real time, contributing to new open source tools: River : a Python library for online Machine Learning MOA : Massive Online Analytics, a framework for mining data streams (in Java) Apache SAMOA : Scalable Advanced Massive Online Analytics, an open source framework for data stream mining on the Hadoop Ecosystem People Talel Abdessalem Mehwish Alam Antoine Amarilli Albert Bifet Thomas Bonald Jean-Louis Dessalles Nils Holzenberger Louis Jachiet Mauro Sozio Fabian Suchanek Senior Talel Abdessalem , Professor Mehwish Alam , Associate Professor Antoine Amarilli , Associate Professor Albert Bifet , Professor Thomas Bonald , Professor, head Jean-Louis Dessalles , Emeritus Nils Holzenberger , Associate Professor Louis Jachiet , Associate Professor Marc Jeanmougin , Research Engineer Mauro Sozio , Professor Fabian Suchanek , Professor Post-docs Pierre-Henri Paris Sven Dziadek PhD candidates François Amat . Advisor: Fabian Suchanek . Tom Calamai. Advisors: Fabian M. Suchanek and Oana Balalau Cyril Chhun . Advisors: Fabian M. Suchanek and Chloé Clavel Simon Coumes . Advisor: Fabian M. Suchanek Gabriel Damay . Advisor Mauro Sozio Simon Delarue . Advisors: Thomas Bonald and Tiphaine Viard Rajaa El Hamdani . Advisor: Thomas Bonald & Fragkiskos Malliaros Chadi Helwe . Advisors: Fabian M. Suchanek and Chloé Clavel Lanfang Kong. Advisor Mauro Sozio Yiwen Peng . Advisors: Thomas Bonald and Mehwish Alam Samuel Reyd. Advisors: Ada Diaconescu and Jean-Louis Dessalles Zacchary Sadeddine . Advisor: Fabian Suchanek Interns Bérénice Jaulmes . Advisors: Mehwish Alam, Fabian Suchanek Sri Appakutti . Advisors: Nils Holzenberger, Fabian Suchanek Nicoline Nymand-Andersen . Advisors: Thomas Bonald, Marc Jeanmougin Roman Plaud . Advisors: Thomas Bonald, Mathieu Labeau and Antoine Saillenfest Former members Octave Gaspard . Advisor: Antoine Amarilli Vlad-Stefan Vergelea . Advisor: Antoine Amarilli Mariam Bary . Advisor: Albert Bifet Georges Hebrail , Invited professor (2020-2023) Julien Lie-Panis . Advisors: Jean-Louis Dessalles and Jean-Baptiste André . (2019-2023) Minh Huong Le Nguyen . Advisor: Albert Bifet Nedeljko Radulovic . Advisors: Fabian M. Suchanek and Albert Bifet. Angelo Ortiz . Advisors: Thomas Bonald, Mathieu Labeau and Antoine Saillenfest Andrian Putina . Advisor: Mauro Sozio . Etienne Houzé. Advisors: Ada Diaconescu and Jean-Louis Dessalles (2019-2022) . Armand Boschin . Advisor: Thomas Bonald . Lihu Chen . Advisors: Fabian Suchanek and Gael Varoquaux Dihia Boulegane . Advisors: Albert Bifet and Giyyarpuram Madhusudan. Samed Atouati . Advisor: Mauro Sozio . Léo Laugier. Advisor: Thomas Bonald . Tiphaine Viard , Associate Professor Jakub Różycki . Advisor: Antoine Amarilli Martín Muñoz , Pontificia Universidad Católica de Chile Quentin Lutz. Advisor: Thomas Bonald . Laurent Decreusefond , Professor Pierre Senellart , Invited Professor Cédric Kulbach . Visiting PhD. (2021) Éloi Tanguy . Advisors: Thomas Bonald and Tiphaine Viard Julie Dessaint . Advisors: Fabien Suchanek and Thomas Bonald Flavia Salutari. Advisor: Mauro Sozio (2018-2021) Hanady Gebran . Advisor: jean-louis Dessalles (2021) Emmanuel Lagrée . Advisor: jean-louis Dessalles (2021) Etienne Li . Advisor: jean-louis Dessalles (2021) Demir Renaux (2021). Advisors: Antoine Amarilli and Louis Jachiet and Luc Segoufin Rémi Dupré (2019) . Advisors: Antoine Amarilli and Pierre Senellart . Lucas Gréaux (2019) Advisor: Mauro Sozio . Anes Mekki (2019) . Advisor: Antoine Amarilli . Bertrand Charpentier (2018) Arnaud Guerquin (2018) Advisor: Mauro Sozio Heitor Murilo Gomes (2017-2019) Mostafa Haghir Chehreghani (2016-2019) Céline Comte (2016-2019) Suraj Jog (2016). Advisor: Pierre Senellart . Qing Liu (2016) Jesse Read (2016) Katerina Tzompanaki (2016) Marc Benhamou (2015) Anis Bouriga (2015) Maximilien Danisch (2015-2017) Assane Dieng (2015) Miyoung Han (2015-2018) Takashi Hashimoto (2015) Alexandre Hollocou (2015-2018) Sitesh Indra (2015) Quentin Lobbé (2015-2018) Mikaël Monet (2015-2018) Jacob Montiel (2015-2019) Thomas Rebele (2015-2018) Émilie Saintilan (2015) Danai Symeonidou (2015) Adrien Tibere-Inglesse (2015) Oana Bălălău (2014-2017) Yoann Bourse (2014) Sahar Brinis (2014) Luis Galárraga (2014-2016) David Montoya (2014-2016) Pierre-Alexandre Murena (2014-2019) Mohamed-Amine Baazizi (2013) Raphaël Bonaque (2013) Roxana Gabriela Horincar (2013-2015) Diogo Martins (2013-2014) Sébastien Montenez (2013-2015) Abdellah Fourtassi (2012) Mayur Garg (2012) Christos Giatsidis (2012-2013) Lise Hobeika (2012) Fragkiskos Malliaros (2012-2013) Sylvain Mellak (2012) Anna-Isavella Rerra (2012) François Rousseau (2012-2013) Yael Amsterdamer (2011) Mouhamadou Lamine Ba (2011-2015) Muhammad Faheem (2011-2014) Aditya Goel (2011) Georges Gouriten (2011-2013) Modou Gueye (2011-2014) Ioana Ileana (2011-2014) Chengxuan Liao (2011) Nicoleta Oita (2011-2012) Antoine Saillenfest...