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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Bibliographic Details
Main Author: Dwivedi Vijay Prakash
Other Authors: Luu Anh Tuan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175787
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Institution: Nanyang Technological University
Language: English
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