Hetegraph: graph learning in recommender systems via graph convolutional networks

DH Tran, QZ Sheng, WE Zhang, A Aljubairy, M Zaib… - Neural computing and … - Springer
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …
被引用次数：14 相关文章

HeteGraph: graph learning in recommender systems via graph convolutional networks

DH Tran, QZ Sheng, WE Zhang, A Aljubairy, M Zaib… - 2021 - digital.library.adelaide.edu.au
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …

HeteGraph: graph learning in recommender systems via graph convolutional networks.

DH Tran, QZ Sheng, WE Zhang… - Neural Computing …, 2023 - search.ebscohost.com
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …

HeteGraph: graph learning in recommender systems via graph convolutional networks

QZ Sheng, WE Zhang, A Aljubairy… - Neural Computing …, 2023 - researchers.mq.edu.au
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …

HeteGraph: graph learning in recommender systems via graph convolutional networks

DH Tran, QZ Sheng, WE Zhang, A Aljubairy… - 2021 - hekyll.services.adelaide.edu.au
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …

HeteGraph: graph learning in recommender systems via graph convolutional networks

QZ Sheng, WE Zhang, A Aljubairy… - Neural Computing …, 2023 - search.proquest.com
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …

HeteGraph: graph learning in recommender systems via graph convolutional networks

QZ Sheng, WE Zhang, A Aljubairy, M Zaib… - Neural Computing …, 2021 - ksascholar.dri.sa
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …

HeteGraph: graph learning in recommender systems via graph convolutional networks

DH Tran, QZ Sheng, WE Zhang, A Aljubairy… - Neural Computing and …, 2023 - dl.acm.org
With the explosive growth of online information, many recommendation methods have been
proposed. This research direction is boosted with deep learning architectures, especially the …