Mikhail Galkin
Mikhail Galkin
Intel AI Lab
Verified email at
Cited by
Cited by
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
Message Passing for Hyper-Relational Knowledge Graphs
M Galkin, P Trivedi, G Maheshwari, R Usbeck, J Lehmann
EMNLP 2020, 2020
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
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
ICEIS (2), 88-98, 2017
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
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
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
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
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
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
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
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
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
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
Identifying web tables: Supporting a neglected type of content on the web
M Galkin, D Mouromtsev, S Auer
Knowledge Engineering and Semantic Web: 6th International Conference, KESW …, 2015
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
Synthesizing Knowledge Graphs from Web Sources with the MINTE Framework
D Collarana, M Galkin, C Lange, S Scerri, S Auer, ME Vidal
The Semantic Web–ISWC 2018: 17th International Semantic Web Conference …, 2018
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
Fuhsen: A federated hybrid search engine for building a knowledge graph on-demand (short paper)
D Collarana, M Galkin, C Lange, I Grangel-González, ME Vidal, S Auer
On the Move to Meaningful Internet Systems: OTM 2016 Conferences …, 2016
Monitoring and automating factories using semantic models
N Petersen, M Galkin, C Lange, S Lohmann, S Auer
Semantic Technology: 6th Joint International Conference, JIST 2016 …, 2016
The system can't perform the operation now. Try again later.
Articles 1–20