Thomas Lukasiewicz
Professor Thomas Lukasiewicz
Room
366,
Wolfson Building,
Parks Road, Oxford OX1 3QD
United Kingdom
Interests
For more information on Thomas Lukasiewicz and his team, see: Intelligent Systems Lab.
Selected Publications
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The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud‚ İsmail İlkan Ceylan‚ Martin Grohe and Thomas Lukasiewicz
In Proceedings of the 30th International Joint Conference on Artificial Intelligence‚ IJCAI 2021‚ August 21–26‚ 2021. IJCAI. August, 2021.
Details about The Surprising Power of Graph Neural Networks with Random Node Initialization | BibTeX data for The Surprising Power of Graph Neural Networks with Random Node Initialization
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An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities
Elvira Amador−Domı́nguez‚ Emilio Serrano‚ Daniel Manrique‚ Patrick Hohenecker and Thomas Lukasiewicz
In Information Sciences. Vol. 564. Pages 85–102. July, 2021.
Details about An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities | BibTeX data for An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities | Link to An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities
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RSG: A Simple yet Effective Module for Learning Imbalanced Datasets
Jianfeng Wang‚ Thomas Lukasiewicz‚ Xiaolin Hu‚ Jianfei Cai and Zhenghua Xu
In Proceedings of the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition‚ CVPR 2021‚ Virtual‚ June 19–25‚ 2021. June, 2021.
Details about RSG: A Simple yet Effective Module for Learning Imbalanced Datasets | BibTeX data for RSG: A Simple yet Effective Module for Learning Imbalanced Datasets
Activities
Completed Projects
- ExODA
- Probabilistic Semantic Query Answering on the Web
- PrOQAW
- PRODIMA
- Personalized Search on the Social Web
- DBOnto
- VADA
- RealPDBs
- PrefMPS