Marc Plantevit
Présentation
Full Professor
Publications
Publications
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Des réseaux de neurones sur graphes auto-explicatifs basés sur la logiqueExtraction et Gestion de Connaissances (EGC'26), Jan 2026, Anglet, France. pp.481--488 |
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Extraction différentiable d'ensemble de motifs d'intervallesExtraction et Gestion de Connaissances (EGC'26), Jan 2026, Anglet (France), France |
On Logic-based Self-Explainable Graph Neural NetworksThe Thirty-Ninth Annual Conference on Neural Information Processing Systems -- NeurIPS 2025, Dec 2025, San diego (Californie), United States |
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Faithful Explanations for Graph Classification Using LogicEuropean Conference on Machine Learning and Knowledge Discovery in Databases (ECMLPKDD 2025), Sep 2025, Porto, Portugal. pp.113-129, ⟨10.1007/978-3-032-06078-5_7⟩ |
Diffusion for Explainable Unsupervised Anomaly DetectionThe 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2025, Birmingham, United Kingdom |
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DiffVersify: a Scalable Approach to Differentiable Pattern Mining with Coverage RegularizationMachine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.407 - 422, ⟨10.1007/978-3-031-70365-2_24⟩ |
RPS: A Generic Reservoir Patterns SamplerIEEE International Conference on Big Data, Big Data 2024, Dec 2024, Washinghton DC, United States |
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Scalable Sampling for High Utility Patterns2024 IEEE International Conference on Big Data (BigData), Dec 2024, Washington, France. pp.104-109, ⟨10.1109/BigData62323.2024.10826031⟩ |
Game Theoretic Explanations for Graph Neural NetworksMachine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of {ECML} {PKDD} 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part {III}, Sep 2023, Turin, Italy. pp.217-232, ⟨10.1007/978-3-031-74633-8\_14⟩ |
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Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical TargetsIEEE International Conference on Data Mining Workshops (ICDM Workshops), IEEE, Dec 2023, Shanghai (Chine), China. ⟨10.1109/ICDMW60847.2023.00159⟩ |
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Forecasting Electricity Prices: An Optimize Then Predict-Based ApproachIntelligent Data Analysis 2023, Apr 2023, Louvain-la_Neuve, Belgium. pp.446-458, ⟨10.1007/978-3-031-30047-9_35⟩ |
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What Does My GNN Really Capture? On Exploring Internal GNN RepresentationsInternational Joint Conference on Artificial Intelligence 2022, Jul 2022, Vienna, Austria |
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Découverte de sous-groupes de prédictions interprétables pour le triage d'incidentsExtraction et Gestion des Connaissances (EGC'2022), Jan 2022, Blois, France |
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Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNNExtraction et Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.159-170 |
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Gibbs Sampling Subjectively Interesting TilesAdvances in Intelligent Data Analysis {XVIII} - 18th International Symposium on Intelligent Data Analysis (IDA 2020), Apr 2020, Konstanz (on line), Germany. ⟨10.1007/978-3-030-44584-3_7⟩ |
Why Should I Trust This Item? Explaining the Recommendations of any ModelIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2020, Sydney, Australia. ⟨10.1109/DSAA49011.2020.00067⟩ |
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Contrastive antichains in hierarchiesSIGKDD 2019, Aug 2019, Anchorage, Alaska, United States. pp.294:304, ⟨10.1145/3292500.3330954⟩ |
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Recommandation séquentielle à base de séquences fréquentesExtraction et Gestion des Connaissances (EGC), Jan 2019, Metz, France |
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Analyse de comportements relatifs exceptionnels expliquée par des textes : les votes du parlement européenExtraction et Gestion des connaissances (EGC), Jan 2019, Metz, France. pp.437--440 |
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FSSD - A Fast and Efficient Algorithm for Subgroup Set DiscoveryIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨10.1109/DSAA.2019.00023⟩ |
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DEvIANT : Discovering significant exceptional (dis)agreement within groupsJoint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), Sep 2019, Würzburg, Germany. pp.3-20, ⟨10.1007/978-3-030-46150-8_1⟩ |
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Exceptional Attributed Subgraph Mining To Understand The Olfactory Percept21st International Conference on Discovery Science, Oct 2018, Limassol, Cyprus. pp.276--291 |
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Mining Subjectively Interesting Attributed SubgraphsINTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, held with SIGKDD 2018, Aug 2018, Londres, United Kingdom |
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Contextual Subgraph Discovery With Mobility ModelsCOMPLEX NETWORKS 2017, Nov 2017, Lyon, France. pp.477-489 |
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Flash points: Discovering exceptional pairwise behaviors in vote or rating dataECML/PKDD, Sep 2017, Skopje, Macedonia. pp.442-458, ⟨10.1007/978-3-319-71246-8_27⟩ |
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Une méthode de découverte de motifs contextualisés dans les traces de mobilité d'une personne16ème Journées Francophones Extraction et Gestion des Connaissances, Jan 2016, Reims, France. pp.63-68 |
Évaluation des performances réelles de double-peaux PV ventilées en milieu urbain suivant une approche orientée données2e journées nationales de l’énergie solaire - JNES 2015, Jul 2015, Perpignan, France |
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h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in NeuroscienceECML/PKDD 2016 (Demo), Sep 2016, Riva del Garda, Italy. pp.17--21 |
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Local subgroup discovery for eliciting and understanding new structure-odor relationshipsDiscovery Science: 19th International Conference, DS 2016, Oct 2016, Bari, Italy. pp.19-34, ⟨10.1007/978-3-319-46307-0_2⟩ |
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Unsupervised Exceptional Attributed Sub-graph Mining in Urban DataIEEE International Conference on Data Mining (ICDM 2016), Dec 2016, Barcelone, Spain. pp.21-30 |
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Data-driven performance evaluation of ventilated photovoltaic double-skin facades in the built environment6th International Building Physics Conference, Jun 2015, Turin, Italy. pp.447-452, ⟨10.1016/j.egypro.2015.11.694⟩ |
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Vers la découverte de modèles exceptionnels locaux : des règles descriptives liant les molécules à leurs odeurs15e Journées Internationales Francophones Extraction et Gestion des Connaissances (EGC 2015), Jan 2015, Luxembourg, Luxembourg. pp.305-316 |
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Gazouille: Detecting and Illustrating Local Events from Geolocalized Social Media StreamsEuropean Conference on Machine Learning and Knowledge Discovery in Databases, 2015, Porto, Portugal. pp.276-280, ⟨10.1007/978-3-319-23461-8_29⟩ |
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Profiling users of the Vélo 'v bike sharing system2nd International Workshop on Mining Urban Data (MUD), Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik,Gennady L. Andrienko, Shie Mannor, Jul 2015, Lille, France. pp.63-64 |
Fouille de données pour l’analyse du comportement complexe de systèmes photovoltaïque-thermiques en vrai grandeur et in situ intégrés aux bâtimentsCongrès français de thermique, la thermique de l'habitat et de la ville, May 2015, La Rochelle, France |
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Evaluation des performances réelles de double‑peaux PV ventilées en milieu urbain suivant une approche orientée données,XIIe Colloque Inter-Universitaire Franco-Québécois, Jun 2015, Sherbrooke, Canada. pp.01-09 |
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Triggering Patterns of Topology Changes in Dynamic GraphsThe 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug 2014, Beijing, China, China. pp.55:1--55:17, ⟨10.1109/ASONAM.2014.6921577⟩ |
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A Method for Characterizing Communities in Dynamic Attributed Complex NetworksIEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), Aug 2014, Pékin, China. pp.481-484, ⟨10.1109/ASONAM.2014.6921629⟩ |
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Sequence Classification Based on Delta-Free Sequential PatternIEEE International Conference on Data Mining, Dec 2014, Shenzhen, China |
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Une méthode pour caractériser les communautés des réseaux dynamiques à attributs14ème Conférence Extraction et Gestion des Connaissances (EGC), Jan 2014, Rennes, France. pp.101-112 |
Granularity of co-Evolution Patterns in Dynamic Attributed GraphsThe Thirteenth International Symposium on Intelligent Data Analysis IDA 2014, Oct 2014, Leuven, Belgium. pp.84-95 |
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Granularité des motifs de co-variation dans des graphes attribués dynamiques.Extraction et Gestion des Connaissances EGC 2014, Jan 2014, Rennes, France. pp.431-442 |
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Temporal Dependency Detection Between Interval-Based Event SequencesNew Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP, Held in Conjunction with ECML-PKDD, Nancy, France, Revised Selected Papers, Sep 2014, Nancy, France. pp.132--146 |
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When TEDDY meets GrizzLY: Temporal Dependency Discovery for Triggering Road Deicing Operations (Demo)KDD, Aug 2013, Chicago, IL, United States. pp.1490-1493 ⟨10.1145/2487575.2487706⟩ |
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Trend Mining in Dynamic Attributed GraphsMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.654-669, ⟨10.1007/978-3-642-40988-2_42⟩ |
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Cohesive Co-Evolution Patterns in Dynamic Attributed GraphsDiscovery Science - 15th International Conference (DS 2012), Oct 2012, Lyon France. pp.110-124, ⟨10.1007/978-3-642-33492-4_11⟩ |
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Mining Disjunctive Rules in Dynamic Graphs2012 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Feb 2012, Ho Chi Minh, Vietnam. pp.74-79, ⟨10.1109/rivf.2012.6169829⟩ |
Extraction de co-variations entre des propriétés de sommets et leur position topologique dans un graphe attribué.Actes Extraction et Gestion de Connaissances EGC'12, Jan 2012, Bordeaux, France. pp.267-278 |
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Extraction sous Contraintes d'Ensembles de Cliques Homogènes11eme Conference Francophone sur l'Extraction et la Gestion des Connaissances (EGC'11), 2011, Brest, France. pp.1-12 |
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Multidimensional Association Rules in Boolean Tensors11th SIAM International Conference on Data Mining SDM'11, Apr 2011, Phoenix, Arizona, United States. pp.570-581, ⟨10.1137/1.9781611972818.49⟩ |
Motifs séquentiels δ-libresExtraction et gestion des connaissances (EGC'2011), Ali Khenchaf, Pascal Poncelet, Jan 2011, Brest, France |
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Mining Dominant Patterns in the SkyThe 11th IEEE International Conference on Data Mining - ICDM 2011, Dec 2011, Vancouver, B.C, Canada |
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Summarizing Contrasts by Recursive Pattern MiningIEEE 11th International Conference on Data Mining Workshops (ICDMW), Dec 2011, Vancouver, Canada. pp.1155-1162, ⟨10.1109/ICDMW.2011.161⟩ |
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Sequential Patterns to Discover and Characterise Biological Relations11th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing'10), Mar 2010, Iasi, Romania, Romania. pp.537-548 |
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Recursive Sequence Mining to Discover Named Entity Relations9th International Symposium on Intelligent Data Analysis (IDA'10), May 2010, Tucson, Arizona, United States, United States. pp.30-41 |
Discovering Inter-Dimensional Rules in Dynamic GraphsWorkshop on Dynamic Networks and Knowledge Discovery DyNaK'10 co-located with ECML PKDD 2010, Sep 2010, Barcelona, Spain, Spain. pp.1-12 |
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Constraint-Based Mining of Sets of Cliques Sharing Vertex PropertiesWorkshop on Analysis of Complex NEtworks ACNE'10 co-located with ECML PKDD 2010, Sep 2010, Barcelona, Spain. pp.48-62 |
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Condensed Representation of Sequential Patterns according to Frequency-based Measures8th International Symposium on Intelligent Data Analysis (IDA'09), Sep 2009, Lyon, France, France. pp.155-166 |
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Multidimensional Data Streams Summarization Using Extended Tilted-Time WindowsFINA: Frontiers of Information Systems and Network Applications, May 2009, Bradford, United Kingdom. pp.102-106, ⟨10.1109/WAINA.2009.145⟩ |
Motifs séquentiels pour l'extraction d'information : illustration sur le problème de la détection d'interactions entre gènesActes de la 16ème conférence Traitement Automatique des Langues Naturelles (TALN'09), 2009, France |
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Fenêtres sur cubesBDA: Bases de Données Avancées, Oct 2008, Guilherand-Granges, France |
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Up and Down: Mining Multidimensional Sequential Patterns Using HierarchiesDaWaK 2008 - 10th International Conference on Data Warehousing and Knowledge Discovery, Sep 2008, Turin, Italy. pp.156-165, ⟨10.1007/978-3-540-85836-2_15⟩ |
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Fouille de données multidimensionnelles : différentes stratégies pour prendre en compte la mesureEDA: Entrepôts de Données et l'Analyse en ligne, Jun 2008, Toulouse, France. pp.61-76 |
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Mining Multidimensional Sequential Patterns over Data StreamsDaWaK 2008 - 10th International Conference on Data Warehousing and Knowledge Discovery, Sep 2008, Turin, Italy. pp.263-272, ⟨10.1007/978-3-540-85836-2_25⟩ |
Quelle partition pour les motifs séquentiels multidimensionnels ?LFA'07 : Rencontres Francophones sur la Logique Floue et ses Applications, pp.8 |
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Mining Unexpected Multidimensional RulesDOLAP: Data Warehousing and OLAP, Nov 2007, Lisbonne, Portugal. pp.89-96, ⟨10.1145/1317331.1317347⟩ |
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Extraction de Motifs Séquentiels Multidimensionnels Clos sans Gestion d'Ensemble de CandidatsEGC: Extraction et Gestion des Connaissances, Jan 2007, Nice, France |
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HYPE: Mining Hierarchical Sequential PatternsDOLAP'06: ACM Ninth International Workshop on Data Warehousing and OLAP, Nov 2006, Arlington, VA, USA, pp.8 |
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HYPE : Prise en compte des hiérarchies lors de l'extraction de motifs séquentiels multidimensionnelsEDA'06 : Entrepôts de Données et Analyse en ligne, Jun 2006, Versailles, France, pp.155-176 |
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M2SP: Mining Sequential Patterns Among Several DimensionsPKDD 2005 - 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Oct 2005, Porto, Portugal. pp.205-216, ⟨10.1007/11564126_23⟩ |
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Motifs Séquentiels Multidimensionnels EtoilésBDA: Bases de Données Avancées, Oct 2005, Saint-Malo, France |
Local Pattern Detection in Attributed GraphsSolving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, pp.168-183, 2016, ⟨10.1007/978-3-319-41706-6_8⟩ |
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Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup DiscoveryECML/PKDD 2022 Workshop, Grenoble, France, 2022, ⟨10.1007/978-3-031-27527-2_8⟩ |
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Extraction De Motifs Séquentiels Dans Des Données MultidimensionellesInformatique [cs]. Université Montpellier II - Sciences et Techniques du Languedoc, 2008. Français. ⟨NNT : ⟩ |
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Contributions to Pattern Mining in Augmented GraphsArtificial Intelligence [cs.AI]. Université Claude Bernard Lyon 1, 2018 |
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Identifying exceptional (dis)agreement between groups - Technical Report[Research Report] LIRIS UMR CNRS 5205. 2019 |
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DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups[Research Report] LIRIS UMR CNRS 5205. 2019 |
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HYPE: Mining Hierarchical Sequential Patterns06046, 2006, 8 p |
Mining CLosed Multidimensional Sequential Patterns06045, 2006, 10 p |