| Large-scale matrix factorization with distributed stochastic gradient descent R Gemulla, E Nijkamp, PJ Haas, Y Sismanis Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 865 | 2011 |
| Clausie: clause-based open information extraction L Del Corro, R Gemulla Proceedings of the 22nd international conference on World Wide Web, 355-366, 2013 | 708 | 2013 |
| CoHadoop: flexible data placement and its exploitation in Hadoop MY Eltabakh, Y Tian, F Özcan, R Gemulla, A Krettek, J McPherson Proceedings of the VLDB Endowment 4 (9), 575-585, 2011 | 357 | 2011 |
| Jaql: A scripting language for large scale semistructured data analysis KS Beyer, V Ercegovac, R Gemulla, A Balmin, M Eltabakh, CC Kanne, ... Proceedings of the VLDB Endowment 4 (12), 1272-1283, 2011 | 315 | 2011 |
| Ricardo: integrating R and Hadoop S Das, Y Sismanis, KS Beyer, R Gemulla, PJ Haas, J McPherson Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 313 | 2010 |
| You can teach an old dog new tricks! on training knowledge graph embeddings D Ruffinelli, S Broscheit, R Gemulla ICLR, 2020 | 225 | 2020 |
| On synopses for distinct-value estimation under multiset operations K Beyer, PJ Haas, B Reinwald, Y Sismanis, R Gemulla Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007 | 213 | 2007 |
| Minie: minimizing facts in open information extraction K Gashteovski, R Gemulla, L Corro Association for Computational Linguistics, 2017 | 188 | 2017 |
| 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 | 182 | 2018 |
| Distributed matrix completion C Teflioudi, F Makari, R Gemulla 2012 ieee 12th international conference on data mining, 655-664, 2012 | 126 | 2012 |
| Finet: Context-aware fine-grained named entity typing L Del Corro, A Abujabal, R Gemulla, G Weikum Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 116 | 2015 |
| Sequence-to-sequence knowledge graph completion and question answering A Saxena, A Kochsiek, R Gemulla arXiv preprint arXiv:2203.10321, 2022 | 112 | 2022 |
| 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 | 90 | 2020 |
| Mind the gap: Large-scale frequent sequence mining I Miliaraki, K Berberich, R Gemulla, S Zoupanos Proceedings of the 2013 ACM SIGMOD international conference on management of …, 2013 | 87 | 2013 |
| Fast integer compression using SIMD instructions B Schlegel, R Gemulla, W Lehner Proceedings of the Sixth International Workshop on Data Management on New …, 2010 | 87 | 2010 |
| On multi-relational link prediction with bilinear models Y Wang, R Gemulla, H Li Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 80 | 2018 |
| A dip in the reservoir: Maintaining sample synopses of evolving datasets R Gemulla, W Lehner, PJ Haas VLDB 6, 595-606, 2006 | 71 | 2006 |
| Lemp: Fast retrieval of large entries in a matrix product C Teflioudi, R Gemulla, O Mykytiuk Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 65 | 2015 |
| Maintaining bounded-size sample synopses of evolving datasets R Gemulla, W Lehner, PJ Haas The VLDB Journal 17, 173-201, 2008 | 61 | 2008 |
| 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 |
Peter J HaasCollege of Information and Computer Sciences, University of Massachusetts Amherst在 cs.umass.edu 的电子邮件经过验证
