Development of the St. Petersburg's linked open data site using Information Workbench. - Dmitry Mouromtsev; Vitaly Vlasov; Olga Parkhimovich; Mikhail Galkin 001; Vitaly Knyazev (FRUCT, 2013)

Identifying Web Tables: Supporting a Neglected Type of Content on the Web. - Mikhail Galkin 001; Dmitry Mouromtsev; Sören Auer (KESW, 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 001 (ISWC (Posters & Demos), 2015)

LinkDaViz - Automatic Binding of Linked Data to Visualizations. - Klaudia Thellmann; Michael Galkin; Fabrizio Orlandi; Sören Auer (ISWC (1), 2015)

Monitoring and Automating Factories Using Semantic Models. - Niklas Petersen; Michael Galkin; Christoph Lange 002; Steffen Lohmann; Sören Auer (JIST, 2016)

FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper). - Diego Collarana; Mikhail Galkin 001; Christoph Lange 002; Irlán Grangel-González; Maria-Esther Vidal; Sören Auer (OTM Conferences, 2016)

Integration Strategies for Enterprise Knowledge Graphs. - Mikhail Galkin 001; Sören Auer; Hak Lae Kim; Simon Scerri (ICSC, 2016)

Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data. - Mikhail Galkin 001; Sören Auer; Simon Scerri (WI, 2016)

Towards a Multi-way Similarity Join Operator. - Mikhail Galkin 001; Maria-Esther Vidal; Sören Auer (ADBIS (Short Papers and Workshops), 2017)

MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates. - Kemele M. Endris; Mikhail Galkin 001; Ioanna Lytra; Mohamed Nadjib Mami; Maria-Esther Vidal; Sören Auer (DEXA (1), 2017)

SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs. - Mikhail Galkin 001; Diego Collarana; Ignacio Traverso Ribón; Maria-Esther Vidal; Sören Auer (DEXA (1), 2017)

SMJoin: A Multi-way Join Operator for SPARQL Queries. - Mikhail Galkin 001; Kemele M. Endris; Maribel Acosta; Diego Collarana; Maria-Esther Vidal; Sören Auer (SEMANTiCS, 2017)

Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems. - Mikhail Galkin 001; Sören Auer; Maria-Esther Vidal; Simon Scerri (ICEIS (2), 2017)

Semantic Data Integration for Knowledge Graph Construction at Query Time. - Diego Collarana; Mikhail Galkin 001; Ignacio Traverso Ribón; Christoph Lange 002; Maria-Esther Vidal; Sören Auer (ICSC, 2017)

BatWAn: A Binary and Multi-Way Query Plan Analyzer. - Mikhail Galkin 001; Maria-Esther Vidal (ISWC (Posters, Demos & Industry Tracks), 2017)

MINTE: semantically integrating RDF graphs. - Diego Collarana; Mikhail Galkin 001; Ignacio Traverso Ribón; Maria-Esther Vidal; Christoph Lange 002; Sören Auer (WIMS, 2017)

Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers. - Omar Al-Safi; Christian Mader; Ioanna Lytra; Mikhail Galkin 001; Kemele M. Endris; Maria-Esther Vidal; Sören Auer (ICSC, 2018)

Synthesizing Knowledge Graphs from Web Sources with the MINTE ^+ + Framework. - Diego Collarana; Mikhail Galkin 001; Christoph Lange 002; Simon Scerri; Sören Auer; Maria-Esther Vidal (ISWC (2), 2018)

Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+. - Mikhail Galkin 001; Diego Collarana; Maria-Esther Vidal; Mayesha Tasnim (ISWC (P&D/Industry/BlueSky), 2018)

Querying Interlinked Data by Bridging RDF Molecule Templates. - Kemele M. Endris; Mikhail Galkin 001; Ioanna Lytra; Mohamed Nadjib Mami; Maria-Esther Vidal; Sören Auer (Trans. Large Scale Data Knowl. Centered Syst., 2018)

COMET: A Contextualized Molecule-Based Matching Technique. - Mayesha Tasnim; Diego Collarana; Damien Graux; Mikhail Galkin 001; Maria-Esther Vidal (DEXA (1), 2019)

Demonstration of a Customizable Representation Model for Graph-Based Visualizations of Ontologies - GizMO. - Vitalis Wiens; Michael Galkin; Steffen Lohmann; Sören Auer (ISWC (Satellites), 2019)

Strategies for Managing Linked Enterprise Data - Michael Galkin (2019)

Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. - Maria Khvalchik; Mikhail Galkin 001 (HI4NLP@ECAI, 2020)

Message Passing for Hyper-Relational Knowledge Graphs. - Mikhail Galkin 001; Priyansh Trivedi; Gaurav Maheshwari 001; Ricardo Usbeck; Jens Lehmann 001 (EMNLP (1), 2020)

El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. - Maria Khvalchik; Mikhail Galkin 001 (CoRR, 2020)

Improving Inductive Link Prediction Using Hyper-relational Facts. - Mehdi Ali; Max Berrendorf; Mikhail Galkin 001; Veronika Thost; Tengfei Ma 001; Volker Tresp; Jens Lehmann 001 (ISWC, 2021)

NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. - Mikhail Galkin 001; Etienne G. Denis; Jiapeng Wu; William L. Hamilton (ICLR, 2022)

Query Embedding on Hyper-Relational Knowledge Graphs. - Dimitrios Alivanistos; Max Berrendorf; Michael Cochez; Mikhail Galkin 001 (ICLR, 2022)

Neural-Symbolic Models for Logical Queries on Knowledge Graphs. - Zhaocheng Zhu; Mikhail Galkin 001; Zuobai Zhang; Jian Tang 005 (ICML, 2022)

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). - Mehdi Ali; Max Berrendorf; Mikhail Galkin 001; Veronika Thost; Tengfei Ma 001; Volker Tresp; Jens Lehmann 001 (IJCAI, 2022)

A Decade of Knowledge Graphs in Natural Language Processing: A Survey. - Phillip Schneider; Tim Schopf; Juraj Vladika; Michael Galkin; Elena Simperl; Florian Matthes (AACL/IJCNLP (1), 2022)

Weisfeiler and Leman Go Relational. - Pablo Barceló; Mikhail Galkin 001; Christopher Morris 001; Miguel A. Romero Orth (LoG, 2022)

Long Range Graph Benchmark. - Vijay Prakash Dwivedi; Ladislav Rampásek; Michael Galkin; Ali Parviz; Guy Wolf; Anh Tuan Luu; Dominique Beaini (NeurIPS, 2022)

Inductive Logical Query Answering in Knowledge Graphs. - Michael Galkin; Zhaocheng Zhu; Hongyu Ren; Jian Tang 005 (NeurIPS, 2022)

Recipe for a General, Powerful, Scalable Graph Transformer. - Ladislav Rampásek; Michael Galkin; Vijay Prakash Dwivedi; Anh Tuan Luu; Guy Wolf; Dominique Beaini (NeurIPS, 2022)

An Open Challenge for Inductive Link Prediction on Knowledge Graphs. - Mikhail Galkin 001; Max Berrendorf; Charles Tapley Hoyt (CoRR, 2022)

A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. - Charles Tapley Hoyt; Max Berrendorf; Mikhail Galkin 001; Volker Tresp; Benjamin M. Gyori (CoRR, 2022)

Using Graph Algorithms to Pretrain Graph Completion Transformers. - Jonathan Pilault; Michael Galkin; Bahare Fatemi; Perouz Taslakian; David Vázquez 001; Christopher Pal (CoRR, 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 001; Sahand Sharifzadeh; Asja Fischer; Volker Tresp; Jens Lehmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Benchmark Datasets for Inductive Entity Alignment. - Daniel Obraczka; Max Berrendorf; Charles Tapley Hoyt; Michael Galkin; Erhard Rahm (Zenodo, 2022)

Benchmark Datasets for Inductive Entity Alignment. - Daniel Obraczka; Max Berrendorf; Charles Tapley Hoyt; Michael Galkin; Erhard Rahm (Zenodo, 2022)

Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings. - Yi Ren; Samuel Lavoie; Michael Galkin; Danica J. Sutherland; Aaron C. Courville (NeurIPS, 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 004; Maxime Gazeau; Jian Tang 005 (NeurIPS, 2023)

Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. - Kin Long Kelvin Lee; Carmelo Gonzales; Matthew Spellings; Mikhail Galkin 001; Santiago Miret; Nalini Kumar (SC Workshops, 2023)

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases. - Hongyu Ren; Mikhail Galkin 001; Michael Cochez; Zhaocheng Zhu; Jure Leskovec (CoRR, 2023)

Approximate Answering of Graph Queries. - Michael Cochez; Dimitrios Alivanistos; Erik Arakelyan; Max Berrendorf; Daniel Daza; Mikhail Galkin 001; Pasquale Minervini; Mathias Niepert; Hongyu Ren (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 001; Santiago Miret (CoRR, 2023)

Approximate Answering of Graph Queries. - Michael Cochez; Dimitrios Alivanistos; Erik Arakelyan; Max Berrendorf; Daniel Daza; Mikhail Galkin 001; Pasquale Minervini; Mathias Niepert; Hongyu Ren (Compendium of Neurosymbolic Artificial Intelligence, 2023)

FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs. - Uday Mallappa; Hesham Mostafa; Mikhail Galkin 001; Mariano Phielipp; Somdeb Majumdar (ICCAD, 2024)

Towards Foundation Models for Knowledge Graph Reasoning. - Mikhail Galkin 001; Xinyu Yuan; Hesham Mostafa; Jian Tang 005; Zhaocheng Zhu (ICLR, 2024)

Position: Graph Foundation Models Are Already Here. - Haitao Mao; Zhikai Chen; Wenzhuo Tang; Jianan Zhao 002; Yao Ma 001; Tong Zhao 003; Neil Shah; Mikhail Galkin 001; Jiliang Tang (ICML, 2024)

TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs. - Yucheng Zhang; Beatrice Bevilacqua; Mikhail Galkin 001; Bruno Ribeiro 001 (LoG, 2024)

A Foundation Model for Zero-shot Logical Query Reasoning. - Michael Galkin; Jincheng Zhou; Bruno Ribeiro 001; Jian Tang 005; Zhaocheng Zhu (NeurIPS, 2024)

TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. - Julia Gastinger; Shenyang Huang; Michael Galkin; Erfan Loghmani; Ali Parviz; Farimah Poursafaei; Jacob Danovitch; Emanuele Rossi; Ioannis Koutis; Heiner Stuckenschmidt; Reihaneh Rabbany; Guillaume Rabusseau (NeurIPS, 2024)

Graph Foundation Models. - Haitao Mao; Zhikai Chen; Wenzhuo Tang; Jianan Zhao 002; Yao Ma 001; Tong Zhao 003; Neil Shah; Mikhail Galkin 001; Jiliang Tang (CoRR, 2024)

Zero-shot Logical Query Reasoning on any Knowledge Graph. - Mikhail Galkin 001; Jincheng Zhou; Bruno F. Ribeiro; Jian Tang 005; Zhaocheng Zhu (CoRR, 2024)

PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. - Hesham Mostafa; Uday Mallappa; Mikhail Galkin 001; Mariano Phielipp; Somdeb Majumdar (CoRR, 2024)

GraphAny: A Foundation Model for Node Classification on Any Graph. - Jianan Zhao 002; Hesham Mostafa; Mikhail Galkin 001; Michael M. Bronstein; Zhaocheng Zhu; Jian Tang 005 (CoRR, 2024)

One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs. - Krzysztof Olejniczak; Xingyue Huang; Ismail Ilkan Ceylan; Mikhail Galkin 001 (CoRR, 2024)

Deconstructing equivariant representations in molecular systems. - Kin Long Kelvin Lee; Michael Galkin; Santiago Miret (CoRR, 2024)

Attending to Graph Transformers. - Luis Müller; Mikhail Galkin 001; Christopher Morris 001; Ladislav Rampásek (Trans. Mach. Learn. Res., 2024)

Neural Graph Reasoning: A Survey on Complex Logical Query Answering. - Hongyu Ren; Mikhail Galkin 001; Zhaocheng Zhu; Jure Leskovec; Michael Cochez (Trans. Mach. Learn. Res., 2024)

Fully-inductive Node Classification on Arbitrary Graphs. - Jianan Zhao 002; Zhaocheng Zhu; Mikhail Galkin 001; Hesham Mostafa; Michael M. Bronstein; Jian Tang 005 (ICLR, 2025)

SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. - Daniel Levy; Siba Smarak Panigrahi; Sékou-Oumar Kaba; Qiang Zhu; Kin Long Kelvin Lee; Mikhail Galkin 001; Santiago Miret; Siamak Ravanbakhsh (ICLR, 2025)

How Expressive are Knowledge Graph Foundation Models? - Xingyue Huang; Pablo Barceló; Michael M. Bronstein; Ismail Ilkan Ceylan; Mikhail Galkin 001; Juan L. Reutter; Miguel Romero 001 (CoRR, 2025)

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. - Maya Bechler-Speicher; Ben Finkelshtein; Fabrizio Frasca; Luis Müller; Jan Tönshoff; Antoine Siraudin; Viktor Zaverkin; Michael M. Bronstein; Mathias Niepert; Bryan Perozzi; Mikhail Galkin 001; Christopher Morris 001 (CoRR, 2025)

Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models. - Zhanke Zhou; Zhaocheng Zhu; Xuan Li 005; Mikhail Galkin 001; Xiao Feng 003; Sanmi Koyejo; Jian Tang 005; Bo Han 003 (CoRR, 2025)

HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs. - Xingyue Huang; Mikhail Galkin 001; Michael M. Bronstein; Ismail Ilkan Ceylan (CoRR, 2025)

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs. - Florian Grötschla; Luis Müller; Jan Tönshoff; Mikhail Galkin 001; Bryan Perozzi (CoRR, 2025)