| Recipe for a General, Powerful, Scalable Graph Transformer L Rampášek, M Galkin, VP Dwivedi, AT Luu, G Wolf, D Beaini Neural Information Processing Systems (NeurIPS 2022), 2022 | 345 | 2022 |
| Long range graph benchmark VP Dwivedi, L Rampášek, M Galkin, A Parviz, G Wolf, AT Luu, D Beaini Neural Information Processing Systems (NeurIPS 2022) Datasets & Benchmarking …, 2022 | 142 | 2022 |
| Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 8825 …, 2021 | 133 | 2021 |
| Message Passing for Hyper-Relational Knowledge Graphs M Galkin, P Trivedi, G Maheshwari, R Usbeck, J Lehmann EMNLP 2020, 2020 | 100 | 2020 |
| NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs M Galkin, E Denis, J Wu, WL Hamilton International Conference on Learning Representations, ICLR 2022, 2021 | 78 | 2021 |
| Attending to graph transformers L Müller, M Galkin, C Morris, L Rampášek TMLR, 2024 | 68 | 2024 |
| Enterprise knowledge graphs: A semantic approach for knowledge management in the next generation of enterprise information systems M Galkin, S Auer, ME Vidal, S Scerri International Conference on Enterprise Information Systems 2, 88-98, 2017 | 59 | 2017 |
| Neural-Symbolic Models for Logical Queries on Knowledge Graphs Z Zhu, M Galkin, Z Zhang, J Tang International Conference on Machine Learning, ICML 2022, 2022 | 55 | 2022 |
| The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies. D Mouromtsev, DS Pavlov, Y Emelyanov, AV Morozov, DS Razdyakonov, ... ISWC (Posters & Demos), 2015 | 55 | 2015 |
| A Decade of Knowledge Graphs in Natural Language Processing: A Survey P Schneider, T Schopf, J Vladika, M Galkin, E Simperl, F Matthes AACL-IJCNLP 2022, 2022 | 54 | 2022 |
| LinkDaViz–automatic binding of linked data to visualizations K Thellmann, M Galkin, F Orlandi, S Auer The Semantic Web-ISWC 2015: 14th International Semantic Web Conference …, 2015 | 50 | 2015 |
| MINTE: semantically integrating RDF graphs D Collarana, M Galkin, I Traverso-Ribón, ME Vidal, C Lange, S Auer Proceedings of the 7th International Conference on Web Intelligence, Mining …, 2017 | 44 | 2017 |
| Semantic data integration for knowledge graph construction at query time D Collarana, M Galkin, I Traverso-Ribón, C Lange, ME Vidal, S Auer 2017 IEEE 11th International Conference on Semantic Computing (ICSC), 109-116, 2017 | 43 | 2017 |
| MULDER: querying the linked data web by bridging RDF molecule templates KM Endris, M Galkin, I Lytra, MN Mami, ME Vidal, S Auer Database and Expert Systems Applications: 28th International Conference …, 2017 | 39 | 2017 |
| Enterprise knowledge graphs: a backbone of linked enterprise data M Galkin, S Auer, S Scerri 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 497-502, 2016 | 38 | 2016 |
| Integration strategies for enterprise knowledge graphs M Galkin, S Auer, H Kim, S Scerri 2016 ieee tenth international conference on semantic computing (icsc), 242-245, 2016 | 28 | 2016 |
| Weisfeiler and Leman Go Relational P Barcelo, M Galkin, C Morris, MR Orth Learning on Graphs Conference (LoG 2022), 2022 | 26 | 2022 |
| Improving inductive link prediction using hyper-relational facts M Ali, M Berrendorf, M Galkin, V Thost, T Ma, V Tresp, J Lehmann The Semantic Web–ISWC 2021: 20th International Semantic Web Conference, ISWC …, 2021 | 26 | 2021 |
| Querying interlinked data by bridging RDF molecule templates KM Endris, M Galkin, I Lytra, MN Mami, ME Vidal, S Auer Transactions on Large-Scale Data-and Knowledge-Centered Systems XXXIX …, 2018 | 25 | 2018 |
| Inductive Logical Query Answering in Knowledge Graphs M Galkin, Z Zhu, H Ren, J Tang Neural Information Processing Systems (NeurIPS 2022), 2022 | 22 | 2022 |
Sören AuerLeibniz University of Hannover, Leibniz TIB, L3S Research Center在 et-inf.uni-hannover.de 的电子邮件经过验证
