Deep learning for graph structured data
Graph-structured data is ubiquitous across diverse domains, representing valuable relational information between entities. However, most deep learning techniques like convolutional and recurrent neural networks are tailored for grid-structured data and struggle to handle such graphs. This has led to...
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Main Author: | Dwivedi Vijay Prakash |
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Other Authors: | Luu Anh Tuan |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175787 |
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Institution: | Nanyang Technological University |
Language: | English |
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