Mikhail Galkin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
10
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Fully-inductive Node Classification on Arbitrary Graphs. | Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang |
| 2025 | ICLR | SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models. | Daniel Levy, Siba Smarak Panigrahi, Skou-Oumar Kaba, Qiang Zhu, Kin Long Kelvin Lee, Mikhail Galkin, Santiago Miret, Siamak Ravanbakhsh |
| 2025 | ICML | Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks. | Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca, Luis Mller, Jan Tnshoff, Antoine Siraudin, Viktor Zaverkin, Michael M. Bronstein, Mathias Niepert, Bryan Perozzi, Mikhail Galkin, Christopher Morris |
| 2025 | ICML | How Expressive are Knowledge Graph Foundation Models? | Xingyue Huang, Pablo Barcel, Michael M. Bronstein, Ismail Ilkan Ceylan, Mikhail Galkin, Juan L. Reutter, Miguel A. Romero Orth |
| 2024 | ICCAD | FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs. | Uday Mallappa, Hesham Mostafa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar |
| 2024 | ICLR | Towards Foundation Models for Knowledge Graph Reasoning. | Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu |
| 2024 | ICML | 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 |
| 2023 | SC | Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. | Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar |
| 2022 | ICLR | NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. | Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton |
| 2022 | ICLR | Query Embedding on Hyper-Relational Knowledge Graphs. | Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin |
| 2022 | ICML | Neural-Symbolic Models for Logical Queries on Knowledge Graphs. | Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang |
| 2022 | IJCAI | Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). | Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann |
| 2020 | ECAI | Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. | Maria Khvalchik, Mikhail Galkin |
| 2020 | EMNLP | Message Passing for Hyper-Relational Knowledge Graphs. | Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann |
| 2019 | DEXA | COMET: A Contextualized Molecule-Based Matching Technique. | Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal |
| 2017 | ADBIS | Towards a Multi-way Similarity Join Operator. | Mikhail Galkin, Maria-Esther Vidal, Sren Auer |
| 2017 | DEXA | MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates. | Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sren Auer |
| 2017 | DEXA | SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs. | Mikhail Galkin, Diego Collarana, Ignacio Traverso Ribn, Maria-Esther Vidal, Sren Auer |
| 2013 | FRUCT | Development of the St. Petersburg's linked open data site using Information Workbench. | Dmitry Mouromtsev, Vitaly Vlasov, Olga Parkhimovich, Mikhail Galkin, Vitaly Knyazev |