Exploring Heterogeneous Data Graphs Through Their Entity Paths. - Nelly Barret; Antoine Gauquier; Jia Jean Law; Ioana Manolescu (ADBIS, 2023)

Automatically Inferring the Document Class of a Scientific Article. - Antoine Gauquier; Pierre Senellart (DocEng, 2023)

PathWays: Entity-Focused Exploration of Heterogeneous Data Graphs. - Nelly Barret; Antoine Gauquier; Jia Jean Law; Ioana Manolescu (ESWC (Satellite Events), 2023)

Multimodal Machine Learning for Extraction of Theorems and Proofs in the Scientific Literature. - Shrey Mishra; Antoine Gauquier; Pierre Senellart (CoRR, 2023)

Modular Multimodal Machine Learning for Extraction of Theorems and Proofs in Long Scientific Documents. - Shrey Mishra; Antoine Gauquier; Pierre Senellart (JCDL, 2024)

TheoremView: A Framework for Extracting Theorem-Like Environments from Raw PDFs. - Shrey Mishra; Neil Sharma; Antoine Gauquier; Pierre Senellart (ECIR (5), 2025)

Apprentissage multimodal modulaire pour l'extraction de théorèmes et de preuves dans des documents scientifiques longs. - Shrey Mishra; Antoine Gauquier; Pierre Senellart (EGC, 2025)

Finding meaningful paths in heterogeneous graphs with PathWays. - Nelly Barret; Antoine Gauquier; Jia Jean Law; Ioana Manolescu (Inf. Syst., 2025)