Michael Galkin

According to our database, Michael Galkin authored at least 50 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph Foundation Models.

Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang

CoRR, 2024

2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Towards Foundation Models for Knowledge Graph Reasoning.

Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

CoRR, 2023

MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling.

Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret

CoRR, 2023

Approximate Answering of Graph Queries.

Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren

CoRR, 2023

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.

Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec

CoRR, 2023

Attending to Graph Transformers.

Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek

CoRR, 2023

Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit.

Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs.

Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings.

Yi Ren, Samuel Lavoie, Michael Galkin, Danica J. Sutherland, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.

Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Using Graph Algorithms to Pretrain Graph Completion Transformers.

Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vázquez, Christopher Pal

CoRR, 2022

A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs.

Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori

CoRR, 2022

An Open Challenge for Inductive Link Prediction on Knowledge Graphs.

Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt

CoRR, 2022

Recipe for a General, Powerful, Scalable Graph Transformer.

Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inductive Logical Query Answering in Knowledge Graphs.

Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Long Range Graph Benchmark.

Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Weisfeiler and Leman Go Relational.

Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth

Proceedings of the Learning on Graphs Conference, 2022

A Decade of Knowledge Graphs in Natural Language Processing: A Survey.

Phillip Schneider, Tim Schopf, Juraj Vladika, Michael Galkin, Elena Simperl, Florian Matthes

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).

Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Neural-Symbolic Models for Logical Queries on Knowledge Graphs.

Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

Proceedings of the International Conference on Machine Learning, 2022

Query Embedding on Hyper-Relational Knowledge Graphs.

Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin

Proceedings of the Tenth International Conference on Learning Representations, 2022

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.

Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving Inductive Link Prediction Using Hyper-relational Facts.

Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

2020

El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks.

Maria Khvalchik, Mikhail Galkin

CoRR, 2020

Message Passing for Hyper-Relational Knowledge Graphs.

Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks.

Maria Khvalchik, Mikhail Galkin

Proceedings of the Workshop on Hybrid Intelligence for Natural Language Processing Tasks (HI4NLP 2020) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019

Strategies for Managing Linked Enterprise Data

Michael Galkin

PhD thesis, 2019

Demonstration of a Customizable Representation Model for Graph-Based Visualizations of Ontologies - GizMO.

Vitalis Wiens, Michael Galkin, Steffen Lohmann, Sören Auer

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

COMET: A Contextualized Molecule-Based Matching Technique.

Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal

Proceedings of the Database and Expert Systems Applications, 2019

2018

Querying Interlinked Data by Bridging RDF Molecule Templates.

Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer

Trans. Large Scale Data Knowl. Centered Syst., 2018

Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+.

Mikhail Galkin, Diego Collarana, Maria-Esther Vidal, Mayesha Tasnim

Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Synthesizing Knowledge Graphs from Web Sources with the MINTE ^+ + Framework.

Diego Collarana, Mikhail Galkin, Christoph Lange, Simon Scerri, Sören Auer, Maria-Esther Vidal

Proceedings of the Semantic Web - ISWC 2018, 2018

Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers.

Omar Al-Safi, Christian Mader, Ioanna Lytra, Mikhail Galkin, Kemele M. Endris, Maria-Esther Vidal, Sören Auer

Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

2017

MINTE: semantically integrating RDF graphs.

Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Maria-Esther Vidal, Christoph Lange, Sören Auer

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, 2017

BatWAn: A Binary and Multi-Way Query Plan Analyzer.

Mikhail Galkin, Maria-Esther Vidal

Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

Semantic Data Integration for Knowledge Graph Construction at Query Time.

Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Christoph Lange, Maria-Esther Vidal, Sören Auer

Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems.

Mikhail Galkin, Sören Auer, Maria-Esther Vidal, Simon Scerri

Proceedings of the ICEIS 2017, 2017

SMJoin: A Multi-way Join Operator for SPARQL Queries.

Mikhail Galkin, Kemele M. Endris, Maribel Acosta, Diego Collarana, Maria-Esther Vidal, Sören Auer

Proceedings of the 13th International Conference on Semantic Systems, 2017

SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs.

Mikhail Galkin, Diego Collarana, Ignacio Traverso Ribón, Maria-Esther Vidal, Sören Auer

Proceedings of the Database and Expert Systems Applications, 2017

MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates.

Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer

Proceedings of the Database and Expert Systems Applications, 2017

Towards a Multi-way Similarity Join Operator.

Mikhail Galkin, Maria-Esther Vidal, Sören Auer

Proceedings of the New Trends in Databases and Information Systems, 2017

2016

Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data.

Mikhail Galkin, Sören Auer, Simon Scerri

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Integration Strategies for Enterprise Knowledge Graphs.

Mikhail Galkin, Sören Auer, Hak Lae Kim, Simon Scerri

Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016

FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper).

Diego Collarana, Mikhail Galkin, Christoph Lange, Irlán Grangel-González, Maria-Esther Vidal, Sören Auer

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Monitoring and Automating Factories Using Semantic Models.

Niklas Petersen, Michael Galkin, Christoph Lange, Steffen Lohmann, Sören Auer

Proceedings of the Semantic Technology - 6th Joint International Conference, 2016

2015

LinkDaViz - Automatic Binding of Linked Data to Visualizations.

Klaudia Thellmann, Michael Galkin, Fabrizio Orlandi, Sören Auer

Proceedings of the Semantic Web - ISWC 2015, 2015

The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies.

Dmitry Mouromtsev, Dmitry S. Pavlov, Yury Emelyanov, Alexey V. Morozov, Daniil S. Razdyakonov, Mikhail Galkin

Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015

Identifying Web Tables: Supporting a Neglected Type of Content on the Web.

Mikhail Galkin, Dmitry Mouromtsev, Sören Auer

Proceedings of the Knowledge Engineering and Semantic Web - 6th International Conference, 2015

2013

Development of the St. Petersburg's linked open data site using Information Workbench.

Dmitry Mouromtsev, Vitaly Vlasov, Olga Parkhimovich, Mikhail Galkin, Vitaly Knyazev

Proceedings of the 14th Conference of Open Innovations Association FRUCT, 2013