Scaling Computational Performance of Spherical Harmonics Kernels with Triton
Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret.AI for Accelerated Materials Design - Vienna 2024 [paper]
Publications
You can find my articles on Google Scholar, Semantic Scholar, DBLP .
2024
AI for Accelerated Materials Design - Vienna 2024 [paper]
Position: Graph Foundation Models Are Already Here
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang.ICML 2024 (Spotlight) [paper]
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau.arxiv [paper]
GraphAny: A Foundation Model for Node Classification on Any Graph
Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael Bronstein, Zhaocheng Zhu, Jian Tang.arxiv [paper]
Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu.ICLR 2024 [paper]
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints
Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar.arxiv [paper]
FloorSet-a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs
Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar.ICCAD 2024 (Oral) [paper]
Zero-shot Logical Query Reasoning on any Knowledge Graph
Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu.arxiv [paper]
2023
Improving Systematic Generalization using Iterated Learning and Simplicial Embeddings
Yi Ren, Samuel Lavoie, Mikhail Galkin, Danica J. Sutherland, Aaron Courville.NeurIPS 2023 [paper]
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
Zhaocheng Zhu, Xinyu Yuan, Mikhail Galkin, Sophie Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang.NeurIPS 2023 [paper]
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.arxiv [paper]
Approximate Answering of Graph Queries
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren.Ch.17 in Compendium of Neurosymbolic Artificial Intelligence [paper]
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec.arxiv [paper]
Attending to Graph Transformers
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampášek.TMLR 2024 [paper]
2022
Weisfeiler and Leman Go Relational
Pablo Barcelo, Mikhail Galkin, Christopher Morris, Miguel Romero Orth.Learning on Graphs Conference 2022 [paper]
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini.NeurIPS 2022 [paper]
Long Range Graph Benchmark
Vijay Prakash Dwivedi, Ladislav Rampášek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini.NeurIPS 2022 Datasets and Benchmarking Track [paper]
Inductive Logical Query Answering in Knowledge Graphs
Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang.NeurIPS 2022 [paper]
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes.AACL-IJCNLP 2022 [paper]
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang.ICML 2022 [paper]
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin, Etienne Denis, Jiapeng Wu, William L. Hamilton.Accepted to ICLR 2022 [paper]
Query Embedding on Hyper-relational Knowledge Graphs
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin.Accepted to ICLR 2022 [paper]
An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt.Workshop on Graph Learning Benchmarks (GLB 2022) @ The WebConf [paper]
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.Workshop on Graph Learning Benchmarks (GLB 2022) @ The WebConf [paper]
2021
Improving Inductive Link Prediction Using Hyper-relational Facts
Mehdi Ali, Max Berrendorf, Mikhail Galkin , Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann.ISWC 2021. Best Research Paper Award [paper]
2020
Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann.EMNLP 2020 [paper]
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.TPAMI [paper]
2019
Demonstration of a Customizable Representation Model for Graph-Based Visualizations of Ontologies–GizMO
Vitalis Wiens, Mikhail Galkin, Steffen Lohmann, Sören Auer.ISWC 2019, Best Demo Award [paper]
COMET: A Contextualized Molecule-Based Matching Technique
Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal, Sören Auer.DEXA 2019 [paper]
2018
Querying Interlinked Data by Bridging RDF Molecule Templates
Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer.In the proceedings of Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIX - Special Issue on Database- and Expert-Systems Applications, 2018 [paper]
Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+
Mikhail Galkin, Diego Collarana, Maria-Esther Vidal, Mayesha Tasnim.In the proceedings of 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 - 12th, 2018. [paper]
Synthesizing Knowledge Graphs from Web Sources with the MINTE++ Framework
Diego Collarana, Mikhail Galkin, Christoph Lange, Simon Scerri, Sören Auer, Maria-Esther Vidal.In the proceedings of The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part II [paper]
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.In the proceedings of 12th IEEE International Conference on Semantic Computing, ICSC 2018, Laguna Hills, CA, USA, January 31 - February 2, 2018 [paper]
2017
BatWAn: A Binary and Multi-Way Query Plan Analyzer
Mikhail Galkin, Maria-Esther Vidal.In the proceedings of 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 - 25th, 2017. [paper]
Towards a Multi-way Similarity Join Operator
Mikhail Galkin, Maria-Esther Vidal, Sören Auer.In the proceedings of New Trends in Databases and Information Systems - ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings [paper]
SMJoin: A Multi-way Join Operator for SPARQL Queries
Mikhail Galkin, Kemele M. Endris, Maribel Acosta, Diego Collarana, Maria-Esther Vidal, Sören Auer.In the proceedings of the 13th International Conference on Semantic Systems, SEMANTICS 2017, Amsterdam, The Netherlands, September 11-14, 2017 [paper]
SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs
Mikhail Galkin, Diego Collarana, Ignacio Traverso Ribon, Maria-Esther Vidal, Sören Auer.In the proceedings of Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I [paper]
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.In the proceedings of Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I [paper]
MINTE: semantically integrating RDF graphs
Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribon, Maria-Esther Vidal, Christoph Lange, Sören Auer.In the proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, WIMS 2017, Amantea, Italy, June 19-22, 2017 [paper]
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.In the proceedings of ICEIS 2017 - Proceedings of the 19th International Conference on Enterprise Information Systems, Volume 2, Porto, Portugal, April 26-29, 2017 [paper]
Semantic Data Integration for Knowledge Graph Construction at Query Time
Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribon, Christoph Lange, Maria-Esther Vidal, Sören Auer.In the proceedings of 11th IEEE International Conference on Semantic Computing, ICSC 2017, San Diego, CA, USA, January 30 - February 1, 2017 [paper]
2016
Monitoring and Automating Factories Using Semantic Models
Niklas Petersen, Michael Galkin, Christoph Lange, Steffen Lohmann, Sören Auer.In the proceedings of Semantic Technology - 6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers [paper]
FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper)
Diego Collarana, Mikhail Galkin, Christoph Lange, Irlan Grangel-Gonzalez, Maria-Esther Vidal, Sören Auer.In the proceedings of On the Move to Meaningful Internet Systems: OTM 2016 Conferences - Confederated International Conferences: CoopIS, C&TC, and ODBASE 2016, Rhodes, Greece, October 24-28, 2016, Proceedings [paper]
Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data
Mikhail Galkin, Sören Auer, Simon Scerri.In the proceedings of 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016, Omaha, NE, USA, October 13-16, 2016 [paper]
Integration Strategies for Enterprise Knowledge Graphs
Mikhail Galkin, Sören Auer, Hak Lae Kim, Simon Scerri.In the proceedings of Tenth IEEE International Conference on Semantic Computing, ICSC 2016, Laguna Hills, CA, USA, February 4-6, 2016 [paper]
2015
The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies
Dmitry Mouromtsev, Dmitry Pavlov, Yury Emelyanov, Alexey Morozov, Daniil Razdyakonov, Mikhail Galkin.In the proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), Bethlehem, PA, USA, October 11, 2015. [paper]
LinkDaViz - Automatic Binding of Linked Data to Visualizations
Klaudia Thellmann, Michael Galkin, Fabrizio Orlandi, Sören Auer.In the proceedings of The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I [paper]
Identifying Web Tables: Supporting a Neglected Type of Content on the Web
Mikhail Galkin, Dmitry Mouromtsev, Sören Auer.In the proceedings of Knowledge Engineering and Semantic Web - 6th International Conference, KESW 2015, Moscow, Russia, September 30 - October 2, 2015, Proceedings [paper]
2013
Development of the St. Petersburg's linked open data site using Information Workbench
Dmitry Mouromtsev, Vitaly Vlasov, Olga Parkhimovich, Mikhail Galkin, Vitaly Knyazev.In the proceedings of 14th Conference of Open Innovations Association FRUCT, Espoo, Finland, November 11-15, 2013 [paper]