Kgat: Knowledge graph attention network for recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - Proceedings of the 25th ACM …, 2019 - dl.acm.org
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …
被引用次数：1874 相关文章
[PDF] atailab.cn

[PDF][PDF] KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - 2019 - atailab.cn
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …

KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - arXiv preprint arXiv:1905.07854, 2019 - arxiv.org
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …
[PDF] researchgate.net

[PDF][PDF] KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - 2019 - researchgate.net
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …
[PDF] ustc.edu.cn

[PDF][PDF] KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - 2019 - staff.ustc.edu.cn
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …

KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …

KGAT: Knowledge graph attention network for recommendation

X WANG, X HE, Y CAO, M LIU, TS CHUA - 2019 - ink.library.smu.edu.sg
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …
[PDF] github.io

[PDF][PDF] KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - 2019 - hexiangnan.github.io
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …

KGAT: Knowledge Graph Attention Network for Recommendation

X Wang, X He, Y Cao, M Liu, TS Chua - 2019 - scholarbank.nus.edu.sg
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …
[PDF] smu.edu.sg

[PDF][PDF] Knowledge graph attention network for recommendation.(2019)

X WANG, X HE, Y CAO, M LIU… - Proceedings of the 25th …, 2019 - ink.library.smu.edu.sg
To provide more accurate, diverse, and explainable recommendation, it is compulsory to go
beyond modeling user-item interactions and take side information into account. Traditional …