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- Author
- Title
- Deep learning with graph-structured representations
- Supervisors
- Co-supervisors
- Award date
- 23 April 2020
- Number of pages
- 164
- ISBN
- 9789463758512
- Document type
- PhD thesis
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
- In this thesis, we propose novel approaches to machine learning with structured data. Our proposed methods are largely based on the theme of structuring the representations and computations of neural network-based models in the form of a graph, which allows for improved generalization when learning from data with both explicit and implicit modular structure.
- Persistent Identifier
- https://hdl.handle.net/11245.1/1b63b965-24c4-4bcd-aabb-b849056fa76d
- Downloads
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