World's Best Scientists 2026 revealed!
Evgeny Kharlamov

Evgeny Kharlamov

D-Index & Metrics

Computer Science

D-Index
34
Citations
4262
World Ranking
12265
National Ranking
42

Overview

Evgeny Kharlamov is affiliated with the University of Oslo in Norway. Their research primarily spans the field of Computer Science, with significant contributions to several subfields including Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Networks and Communications, and Industrial and Manufacturing Engineering.

Kharlamov's work covers a range of topics, with a strong focus on Advanced Graph Neural Networks and Semantic Web and Ontologies. Other notable research topics include Data Quality and Management, Topic Modeling, Data Management and Algorithms, Bayesian Modeling and Causal Inference, and Rough Sets and Fuzzy Logic.

Their publication record includes papers in a variety of reputable venues. Frequent places of publication are arXiv (Cornell University), IEEE Transactions on Knowledge and Data Engineering, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Zenodo (CERN European Organization for Nuclear Research), and the Proceedings of the ACM Web Conference 2022.

Representative recent papers include:

  • Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding, 2022, Journal of Intelligent Manufacturing
  • SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs, 2022, Proceedings of the ACM Web Conference 2022
  • GCCAD: Graph Contrastive Learning for Anomaly Detection, 2022, IEEE Transactions on Knowledge and Data Engineering
  • SemML: Facilitating development of ML models for condition monitoring with semantics, 2021, Journal of Web Semantics
  • GRAND+: Scalable Graph Random Neural Networks, 2022, Proceedings of the ACM Web Conference 2022

Collaboratively, Kharlamov has frequently worked with several coauthors. Some of the often-collaborating researchers include Baifan Zhou, Ahmet Soylu, Zhuoxun Zheng, Dongzhuoran Zhou, and Gong Cheng.

Best Publications

  • Graph Random Neural Networks for Semi-Supervised Learning on Graphs

    Wenzheng Feng;Jie Zhang;Yuxiao Dong;Yu Han

  • Faceted search over RDF-based knowledge graphs

    Marcelo Arenas;Bernardo Cuenca Grau;Evgeny Kharlamov;Šarunas Marciuška

  • Evolution of DL-lite knowledge bases

    Diego Calvanese;Evgeny Kharlamov;Werner Nutt;Dmitriy Zheleznyakov

  • Ontology Based Data Access in Statoil

    Evgeny Kharlamov;Dag Hovland;Martin G Skjæveland;Dimitris Bilidas

  • BootOX: Practical Mapping of RDBs to OWL 2

    Ernesto Jiménez-Ruiz;Evgeny Kharlamov;Dmitriy Zheleznyakov;Ian Horrocks

  • How Semantic Technologies Can Enhance Data Access at Siemens Energy

    Evgeny Kharlamov;Nina Solomakhina;Özgür Lütfü Özçep;Dmitriy Zheleznyakov

  • Semantic access to streaming and static data at Siemens

    Evgeny Kharlamov;Theofilos Mailis;Gulnar Mehdi;Christian Neuenstadt

  • Rule Learning from Knowledge Graphs Guided by Embedding Models

    Vinh Thinh Ho;Daria Stepanova;Mohamed Hassan Gad-Elrab;Evgeny Kharlamov

  • OptiqueVQS: a Visual Query System over Ontologies for Industry

    Ahmet Soylu;Evgeny Kharlamov;Dmitriy Zheleznyakov;Ernesto Jimenez-Ruiz

  • Ontology Based Access to Exploration Data at Statoil

    Evgeny Kharlamov;Dag Hovland;Ernesto Jiménez-Ruiz;Davide Lanti

  • Optique: Towards OBDA Systems for Industry

    Evgeny Kharlamov;Ernesto Jiménez-Ruiz;Dmitriy Zheleznyakov;Dimitris Bilidas

  • Capturing Industrial Information Models with Ontologies and Constraints

    Evgeny Kharlamov;Bernardo Cuenca Grau;Ernesto Jiménez-Ruiz;Steffen Lamparter

  • Ontology-Based Integration of Streaming and Static Relational Data with Optique

    Evgeny Kharlamov;Sebastian Brandt;Ernesto Jimenez-Ruiz;Yannis Kotidis

  • OptiqueVQS: towards an ontology-based visual query system for big data

    Ahmet Soylu;Martin Giese;Ernesto Jimenez-Ruiz;Evgeny Kharlamov

  • SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

    Unknown

  • Using Semantic Technology to Tame the Data Variety Challenge

    Ian Horrocks;Martin Giese;Evgeny Kharlamov;Arild Waaler

  • GCCAD: Graph Contrastive Learning for Anomaly Detection

    Unknown

  • Faceted Search over Ontology-Enhanced RDF Data

    Marcelo Arenas;Bernardo Cuenca Grau;Evgeny Kharlamov;Sarunas Marciuska

  • SemFacet: semantic faceted search over yago

    Marcelo Arenas;Bernardo Cuenca Grau;Evgeny Kharlamov;Sarunas Marciuska

  • Aggregate queries for discrete and continuous probabilistic XML

    Serge Abiteboul;T.-H. Hubert Chan;Evgeny Kharlamov;Werner Nutt

  • Capturing model-based ontology evolution at the instance level: The case of DL-Lite

    Evgeny Kharlamov;Dmitriy Zheleznyakov;Diego Calvanese

  • TDGIA: Effective Injection Attacks on Graph Neural Networks

    Xu Zou;Qinkai Zheng;Yuxiao Dong;Xinyu Guan

Frequent Co-Authors

Ian Horrocks
Ian Horrocks University of Oxford
Ernesto Jiménez-Ruiz
Ernesto Jiménez-Ruiz City, University of London
Diego Calvanese
Diego Calvanese Free University of Bozen-Bolzano
Bernardo Cuenca Grau
Bernardo Cuenca Grau University of Oxford
Yannis E. Ioannidis
Yannis E. Ioannidis National and Kapodistrian University of Athens
Yannis Kotidis
Yannis Kotidis Athens University of Economics and Business
Werner Nutt
Werner Nutt Free University of Bozen-Bolzano
Ralf Möller
Ralf Möller University of Lübeck
Jie Tang
Jie Tang Tsinghua University
Peter Haase
Peter Haase Metaphacts

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a degree in Computer Science opens doors to many related fields and career opportunities. For those interested in expanding their expertise, an online bachelor’s in electrical engineering can provide a solid foundation in both hardware and software, further enhancing your tech credentials.

If you're looking to upskill quickly or start working sooner, consider easy certifications to get online. These programs often focus on in-demand skills such as cybersecurity, cloud computing, or project management, and can often be completed in just a few weeks or months.

For those ready to advance their education, the shortest online masters degree options allow you to earn a graduate credential in as little as one year. These accelerated programs are designed for working professionals seeking rapid career growth.

Finally, choosing the best masters degree to get can make a big difference in today's competitive job market. Specializations like data science, artificial intelligence, and software engineering are highly sought after and can significantly boost your career prospects.

Best Scientists Citing Evgeny Kharlamov

Trending Scientists

Recently Published Articles