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Team members
| Prénom | Nom | Statut | Employeur | Implantation |
|---|---|---|---|---|
| Elouan | Vincent | PhD student | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Antoine | Taroni | PhD student | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Heidi | Souibki | PhD student | Autre | Nautibus (Université Lyon1) |
| Antoine | Salazar | Trainee | INSAVALOR | Blaise Pascal (INSA) |
| Céline | Robardet | Professor | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Christophe | Rigotti | Associate Professor | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Aya | Rahouti | Trainee | Centre National de la Recherche Scientifique | Blaise Pascal (INSA) |
| Alessio | Ragno | Post-doctoral tenure | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Marc | Plantevit | Associate Professor (en disponibilité) | Université Claude Bernard Lyon 1 | Blaise Pascal (INSA) |
| Jonathan | Pattin-Cottet | PhD student | Autre | Nautibus (Université Lyon1) |
| Ludovic | Moncla | Associate Professor | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| José | Miranda Mattei | PhD student | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Adrien | Mialland | Post-doctoral tenure | INSAVALOR | Blaise Pascal (INSA) |
| Rodolphe | Marbot | PhD student | Autre | Nautibus (Université Lyon1) |
| Claire | Leschi | Associate Professor (en délégation) | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Yassir | Lairgi | PhD student | Autre | Blaise Pascal (INSA) |
| Mehdi | Kaytoue | Associate Professor | Institut National des Sciences Appliquées de Lyon | Blaise Pascal (INSA) |
| Clément | Jacquier | Trainee | INSAVALOR | Blaise Pascal (INSA) |
| Ghiles | Hacid | Trainee | Université Claude Bernard Lyon 1 | Nautibus (Université Lyon1) |
| Serge | Fenet | Associate Professor (en délégation) | Université Claude Bernard Lyon 1 | Blaise Pascal (INSA) |
| Ichrak | Ennaceur | PhD student | Autre | Nautibus (Université Lyon1) |
| Haytham | Elghazel | Associate Professor | Université Claude Bernard Lyon 1 | Nautibus (Université Lyon1) |
| Mariama | Diop | Trainee | EZUS | Nautibus (Université Lyon1) |
| Rémy | Cazabet | Associate Professor | Université Claude Bernard Lyon 1 | Nautibus (Université Lyon1), Blaise Pascal (INSA) |
| Victor | Brabant | PhD student | Autre | Blaise Pascal (INSA) |
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The DM2L team publishes at NeurIPS 2025: “On Logic-based Self-Explainable Graph Neural Networks”
The DM2L team is pleased to announce that its paper “On Logic-based Self-Explainable Graph Neural Networks” has been accepted at NeurIPS 2025. In this work, Alessio Ragno, Marc Plantevit, and Céline Robardet introduce LogiX-GIN, a novel graph neural network architecture that is intrinsically explainable through logic rules.
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Exploring Bitcoin Transactions with ORBITAAL, the Largest Bitcoin Dataset Ever Built
As cryptocurrencies play an increasingly important role in both the economy and scientific research, access to reliable, comprehensive, and exploitable data has become essential. ORBITAAL ( cOmpRehensive BItcoin daTaset for temporAl grAph anaLysis) addresses this need by providing the largest dataset ever built from Bitcoin transactions, enabling in-depth analysis of network dynamics over nearly 13 years. How can such a dataset open new perspectives in network science, economics, or artificial intelligence?
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A new currency to dethrone the dollar?
Is the dollar influence declining? While BRICS countries openly consider the idea of creating a common currency, is the world trade network ready to adopt a new international currency? This is what researchers from LIRIS and UTINAM Institute have investigated from the mathematical structure of commercial exchanges.
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Awards for Research and Innovation at the UCBL (Université Claude Bernard Lyon 1).
Several members of the LIRIS were awarded during the 2023 Research and Innovation Awards ceremonies at the University of Lyon 1.
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Best academic paper award and best application paper award at EGC 2022
Papers "Qu’est-ce que mon GNN capture vraiment ? Exploration des représentations internes d’un GNN" presented by Luca Veyrin-Forrer (LIRIS, DM2L) and "Classification automatique d'articles encyclopédiques" presented by Alice Brenon (LIRIS, DM2L/TWEAK & ICAR), have won the best academic paper and the best application paper awards, respectively at the EGC 2022 conference.
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Links between odorant structure and olfactory perception revealed thanks to artificial intelligence
Can we verbally describe an odorant compound only by looking at its chemical structure? This exercise remains a challenge for scientists and a fantasy for the aroma and fragrance industry. This work, published in Plos Computational Biology, has combined innovative pattern mining approaches with chemical property calculations to establish such rules. A fruitful interdisciplinary collaboration for a first step on the way to the rational design of perfume compounds.
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The DM2L research group from LIRIS at SIGKDD 2019.
The DM2L research group, in collaboration with the University of Ghent (Belgium), will present at SIGKDD’19 a novel method to analyse data with hierarchies.
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Best student data mining award at ECML/PKDD 2018!
Aimene Belfodil (DM2L and Mobile Devices), Adnene Belfodil (BD) and Mehdi Kaytoue (DM2L and Infologic) have been rewarded by the best student data mining paper award at the "European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases" (Dublin, Ireland).
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