Lehmann, Jens

11 publications

TMLR 2024 A Self-Representation Learning Method for Unsupervised Feature Selection Using Feature Space Basis Prayag Tiwari, Farid Saberi Movahed, Saeed Karami, Farshad Saberi-Movahed, Jens Lehmann, Sahar Vahdati

ECML-PKDD 2023 Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs Bowen Song, Chengjin Xu, Kossi Amouzouvi, Maocai Wang, Jens Lehmann, Sahar Vahdati

IJCAI 2022 Climate Bot: A Machine Reading Comprehension System for Climate Change Question Answering Md. Rashad Al Hasan Rony, Ying Zuo, Liubov Kovriguina, Roman Teucher, Jens Lehmann

IJCAI 2022 Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

AAAI 2021 5* Knowledge Graph Embeddings with Projective Transformations Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann

ECML-PKDD 2021 Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities Afshin Sadeghi, Diego Collarana, Damien Graux, Jens Lehmann

JMLR 2021 PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann

ECML-PKDD 2021 VOGUE: Answer Verbalization Through Multi-Task Learning Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh, Jens Lehmann, Maria Maleshkova

AAAI 2012 Usage-Centric Benchmarking of RDF Triple Stores Mohamed Morsey, Jens Lehmann, Sören Auer, Axel-Cyrille Ngonga Ngomo

MLJ 2010 Concept Learning in Description Logics Using Refinement Operators Jens Lehmann, Pascal Hitzler

MLOSS 2009 DL-Learner: Learning Concepts in Description Logics Jens Lehmann