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Michael Galkin
Mikhail Galkin 0001
Person information
- affiliation: Intel
- affiliation (former): Mila, McGill University, Montreal, Canada
- affiliation (former): TU Dresden, Germany
- affiliation (former): Fraunhofer IAIS, Sankt Augustin, Germany
Other persons with the same name
- Mikhail Galkin 0002
— Burdenko Neurosurgery Institute, Moscow, Russia
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Books and Theses
- 2019
- [b1]Michael Galkin:
Strategies for Managing Linked Enterprise Data. University of Bonn, Germany, 2019
Journal Articles
- 2024
- [j3]Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek:
Attending to Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024) - 2022
- [j2]Mehdi Ali
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8825-8845 (2022) - 2018
- [j1]Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal
Querying Interlinked Data by Bridging RDF Molecule Templates. Trans. Large Scale Data Knowl. Centered Syst. 39: 1-42 (2018)
Conference and Workshop Papers
- 2024
- [c38]Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu:
Towards Foundation Models for Knowledge Graph Reasoning. ICLR 2024 - [c37]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Position: Graph Foundation Models Are Already Here. ICML 2024 - 2023
- [c36]Yi Ren, Samuel Lavoie, Michael Galkin, Danica J. Sutherland, Aaron C. Courville:
Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings. NeurIPS 2023 - [c35]Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang:
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. NeurIPS 2023 - [c34]Kin Long Kelvin Lee
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. SC Workshops 2023: 51-59 - 2022
- [c33]Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton:
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. ICLR 2022 - [c32]Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin:
Query Embedding on Hyper-Relational Knowledge Graphs. ICLR 2022 - [c31]Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang:
Neural-Symbolic Models for Logical Queries on Knowledge Graphs. ICML 2022: 27454-27478 - [c30]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI 2022: 5259-5263 - [c29]Phillip Schneider, Tim Schopf
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. AACL/IJCNLP (1) 2022: 601-614 - [c28]Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth:
Weisfeiler and Leman Go Relational. LoG 2022: 46 - [c27]Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini:
Long Range Graph Benchmark. NeurIPS 2022 - [c26]Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang:
Inductive Logical Query Answering in Knowledge Graphs. NeurIPS 2022 - [c25]Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini:
Recipe for a General, Powerful, Scalable Graph Transformer. NeurIPS 2022 - 2021
- [c24]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC 2021: 74-92 - 2020
- [c23]Maria Khvalchik, Mikhail Galkin:
Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. HI4NLP@ECAI 2020: 29-33 - [c22]Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann:
Message Passing for Hyper-Relational Knowledge Graphs. EMNLP (1) 2020: 7346-7359 - 2019
- [c21]Mayesha Tasnim
COMET: A Contextualized Molecule-Based Matching Technique. DEXA (1) 2019: 175-185 - [c20]Vitalis Wiens, Michael Galkin, Steffen Lohmann, Sören Auer:
Demonstration of a Customizable Representation Model for Graph-Based Visualizations of Ontologies - GizMO. ISWC (Satellites) 2019: 225-228 - 2018
- [c19]Omar Al-Safi, Christian Mader, Ioanna Lytra, Mikhail Galkin, Kemele M. Endris, Maria-Esther Vidal
Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers. ICSC 2018: 9-16 - [c18]Diego Collarana
Synthesizing Knowledge Graphs from Web Sources with the MINTE ^+ + Framework. ISWC (2) 2018: 359-375 - [c17]Mikhail Galkin, Diego Collarana, Maria-Esther Vidal, Mayesha Tasnim:
Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+. ISWC (P&D/Industry/BlueSky) 2018 - 2017
- [c16]Mikhail Galkin, Maria-Esther Vidal
Towards a Multi-way Similarity Join Operator. ADBIS (Short Papers and Workshops) 2017: 267-274 - [c15]Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal
MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates. DEXA (1) 2017: 3-18 - [c14]Mikhail Galkin, Diego Collarana
SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs. DEXA (1) 2017: 206-221 - [c13]Mikhail Galkin, Kemele M. Endris, Maribel Acosta
SMJoin: A Multi-way Join Operator for SPARQL Queries. SEMANTiCS 2017: 104-111 - [c12]Mikhail Galkin, Sören Auer, Maria-Esther Vidal, Simon Scerri:
Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems. ICEIS (2) 2017: 88-98 - [c11]Diego Collarana
Semantic Data Integration for Knowledge Graph Construction at Query Time. ICSC 2017: 109-116 - [c10]Mikhail Galkin, Maria-Esther Vidal:
BatWAn: A Binary and Multi-Way Query Plan Analyzer. ISWC (Posters, Demos & Industry Tracks) 2017 - [c9]Diego Collarana
MINTE: semantically integrating RDF graphs. WIMS 2017: 22:1-22:11 - 2016
- [c8]Niklas Petersen, Michael Galkin, Christoph Lange
Monitoring and Automating Factories Using Semantic Models. JIST 2016: 315-330 - [c7]Diego Collarana
FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper). OTM Conferences 2016: 752-761 - [c6]Mikhail Galkin, Sören Auer
Integration Strategies for Enterprise Knowledge Graphs. ICSC 2016: 242-245 - [c5]Mikhail Galkin, Sören Auer
Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data. WI 2016: 497-502 - 2015
- [c4]Mikhail Galkin, Dmitry Mouromtsev, Sören Auer
Identifying Web Tables: Supporting a Neglected Type of Content on the Web. KESW 2015: 48-62 - [c3]Dmitry Mouromtsev, Dmitry S. Pavlov, Yury Emelyanov, Alexey V. Morozov, Daniil S. Razdyakonov, Mikhail Galkin:
The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies. ISWC (Posters & Demos) 2015 - [c2]Klaudia Thellmann, Michael Galkin, Fabrizio Orlandi
LinkDaViz - Automatic Binding of Linked Data to Visualizations. ISWC (1) 2015: 147-162 - 2013
- [c1]Dmitry Mouromtsev, Vitaly Vlasov, Olga Parkhimovich
Development of the St. Petersburg's linked open data site using Information Workbench. FRUCT 2013: 77-82
Parts in Books or Collections
- 2023
- [p1]Michael Cochez
Approximate Answering of Graph Queries. Compendium of Neurosymbolic Artificial Intelligence 2023: 373-386
Data and Artifacts
- 2022
- [d2]Daniel Obraczka
Benchmark Datasets for Inductive Entity Alignment. Version v0.1.0. Zenodo, 2022 [all versions] - [d1]Daniel Obraczka
Benchmark Datasets for Inductive Entity Alignment. Version v0.1.1. Zenodo, 2022 [all versions]
Informal and Other Publications
- 2024
- [i29]Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang:
Graph Foundation Models. CoRR abs/2402.02216 (2024) - [i28]Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu:
Zero-shot Logical Query Reasoning on any Knowledge Graph. CoRR abs/2404.07198 (2024) - [i27]Uday Mallappa, Hesham Mostafa, Michael Galkin, Mariano Phielipp, Somdeb Majumdar:
FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs. CoRR abs/2405.05480 (2024) - [i26]Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar:
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR abs/2405.05495 (2024) - [i25]Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR abs/2405.20445 (2024) - [i24]Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau:
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR abs/2406.09639 (2024) - [i23]Krzysztof Olejniczak, Xingyue Huang, Ismail Ilkan Ceylan, Mikhail Galkin:
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs. CoRR abs/2409.13959 (2024) - 2023
- [i22]Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek:
Attending to Graph Transformers. CoRR abs/2302.04181 (2023) - [i21]Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec:
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. CoRR abs/2303.14617 (2023) - [i20]Michael Cochez
Approximate Answering of Graph Queries. CoRR abs/2308.06585 (2023) - [i19]Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret:
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR abs/2309.05934 (2023) - [i18]Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu:
Towards Foundation Models for Knowledge Graph Reasoning. CoRR abs/2310.04562 (2023) - [i17]Yi Ren, Samuel Lavoie, Mikhail Galkin, Danica J. Sutherland, Aaron C. Courville:
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings. CoRR abs/2310.18777 (2023) - 2022
- [i16]Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt:
An Open Challenge for Inductive Link Prediction on Knowledge Graphs. CoRR abs/2203.01520 (2022) - [i15]Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori:
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. CoRR abs/2203.07544 (2022) - [i14]Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang:
Neural-Symbolic Models for Logical Queries on Knowledge Graphs. CoRR abs/2205.10128 (2022) - [i13]Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini:
Recipe for a General, Powerful, Scalable Graph Transformer. CoRR abs/2205.12454 (2022) - [i12]Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini:
Long Range Graph Benchmark. CoRR abs/2206.08164 (2022) - [i11]Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. CoRR abs/2210.00105 (2022) - [i10]Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vázquez, Christopher Pal:
Using Graph Algorithms to Pretrain Graph Completion Transformers. CoRR abs/2210.07453 (2022) - [i9]Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang:
Inductive Logical Query Answering in Knowledge Graphs. CoRR abs/2210.08008 (2022) - [i8]Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth:
Weisfeiler and Leman Go Relational. CoRR abs/2211.17113 (2022) - 2021
- [i7]Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin:
Query Embedding on Hyper-relational Knowledge Graphs. CoRR abs/2106.08166 (2021) - [i6]Mikhail Galkin, Jiapeng Wu, Etienne G. Denis, William L. Hamilton:
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. CoRR abs/2106.12144 (2021) - [i5]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR abs/2107.04894 (2021) - 2020
- [i4]Mehdi Ali, Max Berrendorf
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR abs/2006.13365 (2020) - [i3]Maria Khvalchik, Mikhail Galkin:
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. CoRR abs/2007.01955 (2020) - [i2]Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann:
Message Passing for Hyper-Relational Knowledge Graphs. CoRR abs/2009.10847 (2020) - 2015
- [i1]Mikhail Galkin, Dmitry Mouromtsev, Sören Auer:
Identifying Web Tables - Supporting a Neglected Type of Content on the Web. CoRR abs/1503.06598 (2015)
Coauthor Index
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