TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS
Ph.D
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Language: | English |
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2024
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/248175 |
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sg-nus-scholar.10635-2481752024-04-30T18:01:20Z TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS LIU JUNCHENG COMPUTER SCIENCE Xiaokui Xiao Graph Neural Networks, Graph Representation Learning, Implict Models, Deep Learning, Implicit Layers Ph.D DOCTOR OF PHILOSOPHY (SOC) 2024-04-30T18:01:20Z 2024-04-30T18:01:20Z 2023-08-24 Thesis LIU JUNCHENG (2023-08-24). TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/248175 0000-0002-3054-4629 en |
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National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
Graph Neural Networks, Graph Representation Learning, Implict Models, Deep Learning, Implicit Layers |
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Graph Neural Networks, Graph Representation Learning, Implict Models, Deep Learning, Implicit Layers LIU JUNCHENG TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS |
description |
Ph.D |
author2 |
COMPUTER SCIENCE |
author_facet |
COMPUTER SCIENCE LIU JUNCHENG |
format |
Theses and Dissertations |
author |
LIU JUNCHENG |
author_sort |
LIU JUNCHENG |
title |
TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS |
title_short |
TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS |
title_full |
TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS |
title_fullStr |
TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS |
title_full_unstemmed |
TOWARD EFFECTIVE AND EFFICIENT GRAPH NEURAL NETWORKS WITH IMPLICIT LAYERS |
title_sort |
toward effective and efficient graph neural networks with implicit layers |
publishDate |
2024 |
url |
https://scholarbank.nus.edu.sg/handle/10635/248175 |
_version_ |
1800916054120071168 |