Mikhail Galkin

76 papers A* 9A 1B 1Misc 3Journal 40Unranked 21
YearRankTypeTitle / Venue / Authors
2025 J jnl
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs.
CoRR
Florian Grötschla, Luis Müller, Jan Tönshoff, Mikhail Galkin, Bryan Perozzi
2025 A* conf
Fully-inductive Node Classification on Arbitrary Graphs.
ICLR
Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang
2025 J jnl
GraphBench: Next-generation graph learning benchmarking.
CoRR
Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris
2025 J jnl
HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs.
CoRR
Xingyue Huang, Mikhail Galkin, Michael M. Bronstein, Ismail Ilkan Ceylan
2025 A* conf
How Expressive are Knowledge Graph Foundation Models?
ICML
Xingyue Huang, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel A. Romero Orth
2025 J jnl
How Expressive are Knowledge Graph Foundation Models?
CoRR
Xingyue Huang, Pablo Barceló, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel Romero
2025 J jnl
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models.
CoRR
Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han
2025 J jnl
OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction.
CoRR
Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong, Cheng-Hao Liu
2025 — conf
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
ICML (Position Papers)
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris
2025 J jnl
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks.
CoRR
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Müller, Jan Tönshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris
2025 A* conf
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models.
ICLR
Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh
2025 J jnl
SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models.
CoRR
Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh
2025 J jnl
TRIX: A More Expressive Model for Zero-shot Domain Transfer in Knowledge Graphs.
CoRR
Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
2024 J jnl
Attending to Graph Transformers.
Trans. Mach. Learn. Res.
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
2024 A conf
FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs.
ICCAD
Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2024 J jnl
Graph Foundation Models.
CoRR
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 J jnl
GraphAny: A Foundation Model for Node Classification on Any Graph.
CoRR
Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2024 J jnl
Neural Graph Reasoning: A Survey on Complex Logical Query Answering.
Trans. Mach. Learn. Res.
Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez
2024 J jnl
One Model, Any Conjunctive Query: Graph Neural Networks for Answering Complex Queries over Knowledge Graphs.
CoRR
Krzysztof Olejniczak, Xingyue Huang, Ismail Ilkan Ceylan, Mikhail Galkin
2024 J jnl
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints.
CoRR
Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
2024 A* conf
Position: Graph Foundation Models Are Already Here.
ICML
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024 J jnl
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs.
CoRR
Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
2024 — conf
TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs.
LoG
Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro
2024 A* conf
Towards Foundation Models for Knowledge Graph Reasoning.
ICLR
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
2024 J jnl
Zero-shot Logical Query Reasoning on any Knowledge Graph.
CoRR
Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu
2023 J jnl
Approximate Answering of Graph Queries.
CoRR
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 — ch.
Approximate Answering of Graph Queries.
Compendium of Neurosymbolic Artificial Intelligence
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
2023 J jnl
Attending to Graph Transformers.
CoRR
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
2023 J jnl
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings.
CoRR
Yi Ren, Samuel Lavoie, Mikhail Galkin, Danica J. Sutherland, Aaron C. Courville
2023 J jnl
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling.
CoRR
Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret
2023 J jnl
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases.
CoRR
Hongyu Ren, Mikhail Galkin, Michael Cochez, Zhaocheng Zhu, Jure Leskovec
2023 J jnl
Towards Foundation Models for Knowledge Graph Reasoning.
CoRR
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
2023 — conf
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit.
SC Workshops
Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar
2022 J jnl
A Decade of Knowledge Graphs in Natural Language Processing: A Survey.
CoRR
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes
2022 J jnl
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs.
CoRR
Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori
2022 J jnl
An Open Challenge for Inductive Link Prediction on Knowledge Graphs.
CoRR
Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt
2022 J jnl
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.
IEEE Trans. Pattern Anal. Mach. Intell.
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
2022 A* conf
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).
IJCAI
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2022 J jnl
Inductive Logical Query Answering in Knowledge Graphs.
CoRR
Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
2022 J jnl
Long Range Graph Benchmark.
CoRR
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
2022 A* conf
Neural-Symbolic Models for Logical Queries on Knowledge Graphs.
ICML
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
2022 J jnl
Neural-Symbolic Models for Logical Queries on Knowledge Graphs.
CoRR
Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
2022 A* conf
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
ICLR
Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton
2022 A* conf
Query Embedding on Hyper-Relational Knowledge Graphs.
ICLR
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
2022 J jnl
Recipe for a General, Powerful, Scalable Graph Transformer.
CoRR
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
2022 — conf
Weisfeiler and Leman Go Relational.
LoG
Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth
2022 J jnl
Weisfeiler and Leman Go Relational.
CoRR
Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth
2021 J jnl
Improving Inductive Link Prediction Using Hyper-Relational Facts.
CoRR
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021 Misc conf
Improving Inductive Link Prediction Using Hyper-relational Facts.
ISWC
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
2021 J jnl
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
CoRR
Mikhail Galkin, Jiapeng Wu, Etienne G. Denis, William L. Hamilton
2021 J jnl
Query Embedding on Hyper-relational Knowledge Graphs.
CoRR
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
2020 J jnl
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework.
CoRR
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
2020 — conf
Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks.
HI4NLP@ECAI
Maria Khvalchik, Mikhail Galkin
2020 J jnl
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks.
CoRR
Maria Khvalchik, Mikhail Galkin
2020 — conf
Message Passing for Hyper-Relational Knowledge Graphs.
EMNLP (1)
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann
2020 J jnl
Message Passing for Hyper-Relational Knowledge Graphs.
CoRR
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann
2019 — conf
COMET: A Contextualized Molecule-Based Matching Technique.
DEXA (1)
Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal
2018 J jnl
Querying Interlinked Data by Bridging RDF Molecule Templates.
Trans. Large Scale Data Knowl. Centered Syst.
Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
2018 — conf
Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers.
ICSC
Omar Al-Safi, Christian Mader, Ioanna Lytra, Mikhail Galkin, Kemele M. Endris, Maria-Esther Vidal, Sören Auer
2018 — conf
Synthesizing Knowledge Graphs from Web Sources with the MINTE ^+ + Framework.
ISWC (2)
Diego Collarana, Mikhail Galkin, Christoph Lange, Simon Scerri, Sören Auer, Maria-Esther Vidal
2018 — conf
Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+.
ISWC (P&D/Industry/BlueSky)
Mikhail Galkin, Diego Collarana, Maria-Esther Vidal, Mayesha Tasnim
2017 — conf
BatWAn: A Binary and Multi-Way Query Plan Analyzer.
ISWC (Posters, Demos & Industry Tracks)
Mikhail Galkin, Maria-Esther Vidal
2017 — conf
Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems.
ICEIS (2)
Mikhail Galkin, Sören Auer, Maria-Esther Vidal, Simon Scerri
2017 — conf
MINTE: semantically integrating RDF graphs.
WIMS
Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Maria-Esther Vidal, Christoph Lange, Sören Auer
2017 — conf
MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates.
DEXA (1)
Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
2017 — conf
SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs.
DEXA (1)
Mikhail Galkin, Diego Collarana, Ignacio Traverso Ribón, Maria-Esther Vidal, Sören Auer
2017 Misc conf
SMJoin: A Multi-way Join Operator for SPARQL Queries.
SEMANTiCS
Mikhail Galkin, Kemele M. Endris, Maribel Acosta, Diego Collarana, Maria-Esther Vidal, Sören Auer
2017 — conf
Semantic Data Integration for Knowledge Graph Construction at Query Time.
ICSC
Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Christoph Lange, Maria-Esther Vidal, Sören Auer
2017 — conf
Towards a Multi-way Similarity Join Operator.
ADBIS (Short Papers and Workshops)
Mikhail Galkin, Maria-Esther Vidal, Sören Auer
2016 B conf
Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data.
WI
Mikhail Galkin, Sören Auer, Simon Scerri
2016 — conf
FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper).
OTM Conferences
Diego Collarana, Mikhail Galkin, Christoph Lange, Irlán Grangel-González, Maria-Esther Vidal, Sören Auer
2016 — conf
Integration Strategies for Enterprise Knowledge Graphs.
ICSC
Mikhail Galkin, Sören Auer, Hak Lae Kim, Simon Scerri
2015 J jnl
Identifying Web Tables - Supporting a Neglected Type of Content on the Web.
CoRR
Mikhail Galkin, Dmitry Mouromtsev, Sören Auer
2015 — conf
Identifying Web Tables: Supporting a Neglected Type of Content on the Web.
KESW
Mikhail Galkin, Dmitry Mouromtsev, Sören Auer
2015 — conf
The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies.
ISWC (Posters & Demos)
Dmitry Mouromtsev, Dmitry S. Pavlov, Yury Emelyanov, Alexey V. Morozov, Daniil S. Razdyakonov, Mikhail Galkin
2013 Misc conf
Development of the St. Petersburg's linked open data site using Information Workbench.
FRUCT
Dmitry Mouromtsev, Vitaly Vlasov, Olga Parkhimovich, Mikhail Galkin, Vitaly Knyazev