Galkin, Mikhail

23 publications

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