DEEP LEARNING ON GRAPH-STRUCTURED DATA
Ph.D
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2023
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| Online Access: | https://scholarbank.nus.edu.sg/handle/10635/238632 |
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| Institution: | National University of Singapore |
| Language: | English |
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sg-nus-scholar.10635-2386322023-03-31T18:00:46Z DEEP LEARNING ON GRAPH-STRUCTURED DATA TONG ZEKUN INDUSTRIAL SYSTEMS ENGINEERING & MGT Yeow Meng Chee Directed Graph, Graph Convolution Networks, Deep Learning, Graph Contrastive Learning, Directed Graph Laplacian, PageRank Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2023-03-31T18:00:46Z 2023-03-31T18:00:46Z 2022-08-12 Thesis TONG ZEKUN (2022-08-12). DEEP LEARNING ON GRAPH-STRUCTURED DATA. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/238632 0000-0003-0587-3807 en |
| institution |
National University of Singapore |
| building |
NUS Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NUS Library |
| collection |
ScholarBank@NUS |
| language |
English |
| topic |
Directed Graph, Graph Convolution Networks, Deep Learning, Graph Contrastive Learning, Directed Graph Laplacian, PageRank |
| spellingShingle |
Directed Graph, Graph Convolution Networks, Deep Learning, Graph Contrastive Learning, Directed Graph Laplacian, PageRank TONG ZEKUN DEEP LEARNING ON GRAPH-STRUCTURED DATA |
| description |
Ph.D |
| author2 |
INDUSTRIAL SYSTEMS ENGINEERING & MGT |
| author_facet |
INDUSTRIAL SYSTEMS ENGINEERING & MGT TONG ZEKUN |
| format |
Theses and Dissertations |
| author |
TONG ZEKUN |
| author_sort |
TONG ZEKUN |
| title |
DEEP LEARNING ON GRAPH-STRUCTURED DATA |
| title_short |
DEEP LEARNING ON GRAPH-STRUCTURED DATA |
| title_full |
DEEP LEARNING ON GRAPH-STRUCTURED DATA |
| title_fullStr |
DEEP LEARNING ON GRAPH-STRUCTURED DATA |
| title_full_unstemmed |
DEEP LEARNING ON GRAPH-STRUCTURED DATA |
| title_sort |
deep learning on graph-structured data |
| publishDate |
2023 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/238632 |
| _version_ |
1762031090122358784 |