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...

全面介紹

Saved in:
書目詳細資料
主要作者: Dwivedi Vijay Prakash
其他作者: Luu Anh Tuan
格式: Thesis-Doctor of Philosophy
語言:English
出版: Nanyang Technological University 2024
主題:
在線閱讀:https://hdl.handle.net/10356/175787
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!