| 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 | 588 | 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 | 217 | 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 | 166 | 2021 |
| Message Passing for Hyper-Relational Knowledge Graphs M Galkin, P Trivedi, G Maheshwari, R Usbeck, J Lehmann EMNLP 2020, 2020 | 131 | 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 | 108 | 2021 |
| Attending to graph transformers L Müller, M Galkin, C Morris, L Rampášek TMLR, 2024 | 102 | 2024 |
| 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 | 90 | 2022 |
| 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 | 75 | 2022 |
| 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 | 69 | 2017 |
| 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 | 63 | 2015 |
| Towards Foundation Models for Knowledge Graph Reasoning M Galkin, X Yuan, H Mostafa, J Tang, Z Zhu International Conference on Learning Representations (ICLR 2024), 2024 | 58 | 2024 |
| 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 | 52 | 2015 |
| Position: Graph Foundation Models Are Already Here H Mao, Z Chen, W Tang, J Zhao, Y Ma, T Zhao, N Shah, M Galkin, J Tang ICML 2024 (Spotlight), 2024 | 46* | 2024 |
| 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 | 46 | 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 | 46 | 2017 |
| A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Z Zhu, X Yuan, M Galkin, LP Xhonneux, M Zhang, M Gazeau, J Tang NeurIPS 2023, 2022 | 44* | 2022 |
| 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 | 41 | 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 |
| Weisfeiler and Leman Go Relational P Barcelo, M Galkin, C Morris, MR Orth Learning on Graphs Conference (LoG 2022), 2022 | 37 | 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 | 37 | 2021 |
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