| You can teach an old dog new tricks! on training knowledge graph embeddings D Ruffinelli, S Broscheit, R Gemulla ICLR, 2020 | 218 | 2020 |
| Fine-grained evaluation of rule-and embedding-based systems for knowledge graph completion C Meilicke, M Fink, Y Wang, D Ruffinelli, R Gemulla, H Stuckenschmidt The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018 | 169 | 2018 |
| LibKGE-A knowledge graph embedding library for reproducible research S Broscheit, D Ruffinelli, A Kochsiek, P Betz, R Gemulla Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 87 | 2020 |
| On evaluating embedding models for knowledge base completion Y Wang, D Ruffinelli, R Gemulla, S Broscheit, C Meilicke arXiv preprint arXiv:1810.07180, 2018 | 60 | 2018 |
| Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective D Ruffinelli, B Barán Quantum Information Processing 16, 1-26, 2017 | 19 | 2017 |
| An introduction to AnyBURL C Meilicke, MW Chekol, D Ruffinelli, H Stuckenschmidt KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI …, 2019 | 15 | 2019 |
| Fast ABox consistency checking using incomplete reasoning and caching C Meilicke, D Ruffinelli, A Nolle, H Paulheim, H Stuckenschmidt Rules and Reasoning: International Joint Conference, RuleML+ RR 2017, London …, 2017 | 10 | 2017 |
| KGxBoard: explainable and interactive leaderboard for evaluation of knowledge graph completion models H Widjaja, K Gashteovski, WB Rim, P Liu, C Malon, D Ruffinelli, ... arXiv preprint arXiv:2208.11024, 2022 | 7 | 2022 |
| A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits D Ruffinelli, B Baran 2016 XLII Latin American Computing Conference (CLEI), 1-8, 2016 | 5 | 2016 |
| Towards Scalable Ontological Reasoning using Machine Learning. D Ruffinelli RuleML+ RR (Supplement), 2017 | 2 | 2017 |
| Knowledge Graph Embeddings: Link Prediction and Beyond D Ruffinelli Universität Mannheim, 2023 | | 2023 |
| Beyond Link Prediction: On Pre-Training Knowledge Graph Embeddings D Ruffinelli, R Gemulla | | 2022 |
| Data and Web Science Group University of Mannheim, Germany broscheit, daniel, adrian@ informatik. uni-mannheim. de, pbetz@ mail. uni-mannheim. de S Broscheit, D Ruffinelli, A Kochsiek, P Betz, R Gemulla EMNLP 2020, 165, 2020 | | 2020 |
Samuel BroscheitUniversity of MannheimBestätigte E-Mail-Adresse bei informatik.uni-mannheim.de
