Galkin, Mikhail

26 publications

ICLR 2026 HYPER: A Foundation Model for Inductive Link Prediction with Knowledge Hypergraphs Xingyue Huang, Mikhail Galkin, Michael M. Bronstein, Ismail Ilkan Ceylan

ICLR 2026 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

ICLR 2026 OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael M. Bronstein, Joey Bose, Alexander Tong, Cheng-Hao Liu

ICLR 2025 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang

ICML 2025 How Expressive Are Knowledge Graph Foundation Models? Xingyue Huang, Pablo Barcelo, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L Reutter, Miguel Romero Orth

ICLRW 2025 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Xuan Li, Zhaocheng Zhu, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han

ICML 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, Christopher Morris

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, Santiago Miret, Siamak Ravanbakhsh

LoG 2025 TRIX: A More Expressive Model for Zero-Shot Domain Transfer in Knowledge Graphs Yucheng Zhang, Beatrice Bevilacqua, Mikhail Galkin, Bruno Ribeiro

NeurIPS 2024 A Foundation Model for Zero-Shot Logical Query Reasoning Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu

TMLR 2024 Attending to Graph Transformers Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampášek

NeurIPSW 2024 Deconstructing Equivariant Representations in Molecular Systems Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret

NeurIPSW 2024 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

TMLR 2024 Neural Graph Reasoning: A Survey on Complex Logical Query Answering Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez

ICML 2024 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

NeurIPSW 2024 SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models Daniel Levy, Siba Smarak Panigrahi, Sékou-Oumar Kaba, Qiang Zhu, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh

NeurIPS 2024 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

ICLR 2024 Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

NeurIPSW 2023 Data Efficient Training for Materials Property Prediction Using Active Learning Querying Carmelo Gonzales, Kin Long Kelvin Lee, Bin Mu, Mikhail Galkin, Santiago Miret

NeurIPSW 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

NeurIPSW 2023 Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

IJCAI 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

ICML 2022 Neural-Symbolic Models for Logical Queries on Knowledge Graphs Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

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

ICLR 2022 Query Embedding on Hyper-Relational Knowledge Graphs Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin

LoG 2022 Weisfeiler and Leman Go Relational Pablo Barcelo, Mikhail Galkin, Christopher Morris, Miguel Romero Orth