CINXE.COM
Thomas Bonald
<?xml version="1.0" encoding="UTF-8"?> <html> <head> <title>Thomas Bonald</title> </head> <h1><img style="vertical-align:middle" src="images/tb.jpg" width="150" hspace="10"> Thomas Bonald <a href="Ma_page.html"><img src="images/switch.jpg" width="50" hspace="80"></a></h1> I am a Professor at <a href="https://www.telecom-paris.fr">Telecom Paris</a>, <a href="https://www.ip-paris.fr/en/home-en/">Institut Polytechnique de Paris</a>, head of the <a href="https://dig.telecom-paristech.fr/blog/">DIG</a> (Data, Intelligence and Graphs) team of <a href="https://ltci.telecom-paristech.fr">LTCI</a>.<br><br> I work on data analysis and machine learning, especially on graphs, knowledge bases and natural language processing.<br> <br> <img src="images/bell.png" width="30" hspace="10">A new version of the <a href="https://yago-knowledge.org">YAGO</a> knowledge base is available! <h3> Publications </h3> <p> Available on <a href="https://cv.archives-ouvertes.fr/tbonald/en">HaL</a> </p> <p> Some recent papers: <ul> <li>R. El Hamdani, T. Bonald, F. Malliaros, N. Holzenberger, F. Suchanek, <a href="https://hal.science/hal-04701151v1"> The Factuality of Large Language Models in the Legal Domain</a>, CIKM 2024</li> <li>Y. Peng, T. Bonald, M. Alam, <a href="https://hal.science/hal-04687258"> Refining Wikidata Taxonomy using Large Language Models</a>, CIKM 2024</li> <li>S. Delarue, T. Bonald, T. Viard, <a href="https://hal.science/hal-04643971v1">Link Prediction without Learning</a>, ECAI 2024</li> <li>F. Suchanek, M. Alam, T. Bonald, P-H. Paris, J. Soria, <a href="https://arxiv.org/abs/2308.11884"> Integrating the Wikidata Taxonomy into YAGO</a>, SIGIR 2024</li> <li>S. Delarue, T. Bonald, <a href="https://hal.science/hal-04277248"> Sparse Graph Neural Networks with Scikit-network</a>, Complex Networks 2023</li> <li>T. Bonald, N. de Lara, <a href="https://hal.science/hal-04277262">A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning</a>, Complex Networks 2023</li> <li> A. Boschin, T. Bonald, <a href="http://ceur-ws.org/Vol-2982/paper-6.pdf">Enriching Wikidata with Semantified Wikipedia Hyperlinks</a>, Wikidata Workshop, ISWC 2021 </li> <li> T. Bonald, N. de Lara, Q. Lutz, B. Charpentier, <a href="https://jmlr.org/papers/v21/20-412.html">Scikit-network: Graph Analysis in Python</a>, JMLR 2020</li> </ul> </p> <h3> Software </h3> <p> We develop and maintain <a href="https://scikit-network.readthedocs.io">scikit-network</a>, an open-source Python package for large-scale graph analysis. </p> <a href="https://scikit-network.readthedocs.io"><img src="images/sknetwork.png" width="150"></a> <p> We also maintain <a href="https://torchkge.readthedocs.io">torch-kge</a>, an open-source Python package for knowledge graph embedding. </p> <a href="https://torchkge.readthedocs.io"><img src="images/torchkge.png" width="120"></a> <h3> Datasets </h3> <p> <a href="https://yago-knowledge.org">YAGO</a> is a large knowledge base with general information about people, cities, countries, movies, organizations and more. </p> <a href="https://yago-knowledge.org"><img src="images/yago-logo.png" width="200"></a> <p> The <a href="https://netset.telecom-paris.fr">NetSet</a> collection contains graphs from different domains (Wikipedia, politics, cinema, games, etc.) </p> <img src="images/graph.png" width="200"> <p> <a href="dataset/vital-wikipedia-en.zip">Here</a> is the list of the <a href="https://en.wikipedia.org/wiki/Wikipedia:Vital_articles/Level/4">10,000 vital articles</a> of Wikipedia, with their respective categories. </p> <a href="https://en.wikipedia.org/wiki/Wikipedia:Vital_articles"><img src="images/wikipedia-logo.jpg" width="150"></a> <h3> Teaching </h3> <ul> <li> Probability </li> <li> Statistics </li> <li> Graph learning </li> <li> Reinforcement learning </li> <li> Machine learning in high dimension </li> </ul> <p> Some lecture notes: <ul> <li> <a href="documents/random_graphs.pdf">Random graphs</a></li> <li> <a href="documents/pagerank.pdf">PageRank algorithm</a></li> <li> <a href="documents/spectral.pdf">Spectral graph embedding</a></li> <li><a href="documents/hierarchy.pdf">Hierarchical clustering</a></li> <li><a href="documents/mdp.pdf">Markov decision process</a></li> <li><a href="documents/bandit.pdf">Multi-armed bandits</a></li> <li><a href="documents/lsh.pdf">Locally-sensitive hashing</a></li> </ul> </p> <h3> PhD students </h3> <ul> <li> Roman Plaud</li> <li> Yiwen Peng</li> <li> Simon Delarue </li> <li> Rajaa El Hamdani </li> </ul> <h3> Former PhD students </h3> <ul> <li> Armand Boschin </li> <li> L茅o Laugier </li> <li> Quentin Lutz </li> <li> Edouard Pineau </li> <li> Nathan De Lara </li> <li> Mauro Sardara </li> <li> Céline Comte [<a href="https://www.telecom-paris.fr/en/phd/telecom-paris-phd-thesis-awards">Telecom Paris award</a>]</li> <li> Alexandre Hollocou</li> <li> Yu-Ting Lin </li> <li> Leonce Mekinda </li> <li> Nivine Abbas </li> <li> Nihel Benzaoui </li> <li> Ahlem Khlass </li> <li> Antonino Famulari </li> <li> Raluca-Maria Indre </li> <li> Mathieu Feuillet [<a href="https://www.societe-informatique-de-france.fr/recherche/prix-de-these-gilles-kahn/prix-de-these-2012/">Gilles Kahn award</a>]</li> <li> Ali Ibrahim</li> <li> Minh-Anh Tran</li> <li> Matthieu Jonckheere</li> </ul> <h3> Former Master interns </h3> <ul> <li> Denys Lazarenko </li> <li> Bertrand Charpentier </li> <li> Achille Salaun </li> <li> Michel Blancard </li> <li> Guillaume Barraquand </li> <li> Emmmanuel Charon</li> </ul> <h3> Contact </h3> Thomas Bonald<br> Télécom Paris<br> 19 place Marguerite Perey<br> 91120 Palaiseau<br> France<br> <br> <img border="0" src="images/email.png" width="250"><br><br> <table border="0" width="100%"> <tr> <td width="100"> <img src="images/telecom.jpg" width="100" hspace="10"></td> <td width="100"><img src="images/ipparis.png" width="300"> </td> </td> </tr> </table>