Mikhail Galkin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 49

Top Topics

Extended Abstract

Link Prediction

Top Venues

Publications

Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR (2024)
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
Attending to Graph Transformers. Trans. Mach. Learn. Res. 2024 (2024)
Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR (2024)
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
Towards Foundation Models for Knowledge Graph Reasoning. ICLR (2024)
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
Graph Foundation Models. CoRR (2024)
Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu
Zero-shot Logical Query Reasoning on any Knowledge Graph. CoRR (2024)
Hesham Mostafa, Uday Mallappa, Mikhail Galkin, Mariano Phielipp, Somdeb Majumdar
PARSAC: Fast, Human-quality Floorplanning for Modern SoCs with Complex Design Constraints. CoRR (2024)
Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
Towards Foundation Models for Knowledge Graph Reasoning. CoRR (2023)
Yi Ren, Samuel Lavoie, Mikhail Galkin, Danica J. Sutherland, Aaron C. Courville
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings. CoRR (2023)
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampásek
Attending to Graph Transformers. CoRR (2023)
Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, Mikhail Galkin, Santiago Miret
MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling. CoRR (2023)
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
Approximate Answering of Graph Queries. CoRR (2023)
Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. SC Workshops (2023)
Vijay Prakash Dwivedi, Ladislav Rampásek, Mikhail Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
Long Range Graph Benchmark. CoRR (2022)
Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth
Weisfeiler and Leman Go Relational. CoRR (2022)
Pablo Barceló, Mikhail Galkin, Christopher Morris, Miguel A. Romero Orth
Weisfeiler and Leman Go Relational. LoG (2022)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI (2022)
Mikhail Galkin, Max Berrendorf, Charles Tapley Hoyt
An Open Challenge for Inductive Link Prediction on Knowledge Graphs. CoRR (2022)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. ICLR (2022)
Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. CoRR (2022)
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
Query Embedding on Hyper-Relational Knowledge Graphs. ICLR (2022)
Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes
A Decade of Knowledge Graphs in Natural Language Processing: A Survey. CoRR (2022)
Ladislav Rampásek, Mikhail Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Recipe for a General, Powerful, Scalable Graph Transformer. CoRR (2022)
Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
Query Embedding on Hyper-relational Knowledge Graphs. CoRR (2021)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR (2021)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC (2021)
Mikhail Galkin, Jiapeng Wu, Etienne Denis, William L. Hamilton
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs. CoRR (2021)
Maria Khvalchik, Mikhail Galkin
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. CoRR (2020)
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann
Message Passing for Hyper-Relational Knowledge Graphs. EMNLP (1) (2020)
Maria Khvalchik, Mikhail Galkin
Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks. HI4NLP@ECAI (2020)
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. CoRR (2020)
Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, Jens Lehmann
Message Passing for Hyper-Relational Knowledge Graphs. CoRR (2020)
Mayesha Tasnim, Diego Collarana, Damien Graux, Mikhail Galkin, Maria-Esther Vidal
COMET: A Contextualized Molecule-Based Matching Technique. DEXA (1) (2019)
Diego Collarana, Mikhail Galkin, Christoph Lange, Simon Scerri, Sören Auer, Maria-Esther Vidal
Synthesizing Knowledge Graphs from Web Sources with the MINTE ^+ + Framework. ISWC (2) (2018)
Omar Al-Safi, Christian Mader, Ioanna Lytra, Mikhail Galkin, Kemele M. Endris, Maria-Esther Vidal, Sören Auer
Shipping Knowledge Graph Management Capabilities to Data Providers and Consumers. ICSC (2018)
Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
Querying Interlinked Data by Bridging RDF Molecule Templates. Trans. Large Scale Data Knowl. Centered Syst. 39 (2018)
Mikhail Galkin, Diego Collarana, Maria-Esther Vidal, Mayesha Tasnim
Synthesizing a Knowledge Graph of Data Scientist Job Offers with MINTE+. ISWC (P&D/Industry/BlueSky) (2018)
Mikhail Galkin, Maria-Esther Vidal, Sören Auer
Towards a Multi-way Similarity Join Operator. ADBIS (Short Papers and Workshops) (2017)
Kemele M. Endris, Mikhail Galkin, Ioanna Lytra, Mohamed Nadjib Mami, Maria-Esther Vidal, Sören Auer
MULDER: Querying the Linked Data Web by Bridging RDF Molecule Templates. DEXA (1) (2017)
Mikhail Galkin, Maria-Esther Vidal
BatWAn: A Binary and Multi-Way Query Plan Analyzer. ISWC (Posters, Demos & Industry Tracks) (2017)
Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Christoph Lange, Maria-Esther Vidal, Sören Auer
Semantic Data Integration for Knowledge Graph Construction at Query Time. ICSC (2017)
Mikhail Galkin, Sören Auer, Maria-Esther Vidal, Simon Scerri
Enterprise Knowledge Graphs: A Semantic Approach for Knowledge Management in the Next Generation of Enterprise Information Systems. ICEIS (2) (2017)
Mikhail Galkin, Kemele M. Endris, Maribel Acosta, Diego Collarana, Maria-Esther Vidal, Sören Auer
SMJoin: A Multi-way Join Operator for SPARQL Queries. SEMANTiCS (2017)
Mikhail Galkin, Diego Collarana, Ignacio Traverso Ribón, Maria-Esther Vidal, Sören Auer
SJoin: A Semantic Join Operator to Integrate Heterogeneous RDF Graphs. DEXA (1) (2017)
Diego Collarana, Mikhail Galkin, Ignacio Traverso Ribón, Maria-Esther Vidal, Christoph Lange, Sören Auer
MINTE: semantically integrating RDF graphs. WIMS (2017)
Mikhail Galkin, Sören Auer, Simon Scerri
Enterprise Knowledge Graphs: A Backbone of Linked Enterprise Data. WI (2016)
Mikhail Galkin, Sören Auer, Hak Lae Kim, Simon Scerri
Integration Strategies for Enterprise Knowledge Graphs. ICSC (2016)
Diego Collarana, Mikhail Galkin, Christoph Lange, Irlán Grangel-González, Maria-Esther Vidal, Sören Auer
FuhSen: A Federated Hybrid Search Engine for Building a Knowledge Graph On-Demand (Short Paper). OTM Conferences (2016)
Mikhail Galkin, Dmitry Mouromtsev, Sören Auer
Identifying Web Tables - Supporting a Neglected Type of Content on the Web. CoRR (2015)
Dmitry Mouromtsev, Dmitry S. Pavlov, Yury Emelyanov, Alexey V. Morozov, Daniil S. Razdyakonov, Mikhail Galkin
The Simple Web-based Tool for Visualization and Sharing of Semantic Data and Ontologies. ISWC (Posters & Demos) (2015)
Mikhail Galkin, Dmitry Mouromtsev, Sören Auer
Identifying Web Tables: Supporting a Neglected Type of Content on the Web. KESW (2015)
Dmitry Mouromtsev, Vitaly Vlasov, Olga Parkhimovich, Mikhail Galkin, Vitaly Knyazev
Development of the St. Petersburg's linked open data site using Information Workbench. FRUCT (2013)