Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Houye Ji"'
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c018b77fe816aad2144098f168f4c9
https://doi.org/10.1145/3503161.3548366
https://doi.org/10.1145/3503161.3548366
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:232-239
The prosperous development of social e-commerce has spawned diverse recommendation demands, and accompanied a new recommendation paradigm, share recommendation. Significantly different from traditional binary recommendations (e.g., item recommendati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60e7b7fa8d6ce76695a759f9d22506b
https://doi.org/10.1609/aaai.v35i1.16097
https://doi.org/10.1609/aaai.v35i1.16097
Publikováno v:
ACM Transactions on Information Systems. 39:1-29
Short text classification has been widely explored in news tagging to provide more efficient search strategies and more effective search results for information retrieval. However, most existing studies, concentrating on long text classification, del
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ef2fa32a60418d952aa62682edb176
https://doi.org/10.1145/3450352
https://doi.org/10.1145/3450352
Publikováno v:
Neurocomputing. 431:128-136
Sequence to sequence (Seq2Seq) model for abstractive summarization have aroused widely attention due to their powerful ability to represent sequence. However, the sequence structured data is a simple format, which cannot describe the complexity of gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cbd97a402281653c976e7fb9cb4b1c4
https://doi.org/10.1016/j.neucom.2020.09.066
https://doi.org/10.1016/j.neucom.2020.09.066
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac50571d58e35f885a25e19e3496fd9c
https://doi.org/10.1109/icdm51629.2021.00135
https://doi.org/10.1109/icdm51629.2021.00135
Autor:
Chaoyu Zhang, Junxiong Zhu, Zixuan Zhu, Houye Ji, Bai Wang, Yanghua Li, Feng Zhang, Xiao Wang, Chuan Shi
Publikováno v:
WWW
Promotion recommendation, as a new recommendation paradigm in recent years, plays an important role in stimulating the purchase desire of users and maximizing the total revenue. Different from previous recommendations (e.g., item/group recommendation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fac3b20134a34a7b54ff50611437958
https://doi.org/10.1145/3442381.3449924
https://doi.org/10.1145/3442381.3449924
Publikováno v:
WWW
Graph Neural Networks (GNNs) have received considerable attention on graph-structured data learning for a wide variety of tasks. The well-designed propagation mechanism which has been demonstrated effective is the most fundamental part of GNNs. Altho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ac493abd3952056ec797152da4d3924
Publikováno v:
WWW
Graph neural network, as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable research interest. However, it has not been fully considered in graph neural network for heterogeneou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9bd9894f9abfcf92d3ae70b5a13a44b
http://arxiv.org/abs/1903.07293
http://arxiv.org/abs/1903.07293
Publikováno v:
EMNLP/IJCNLP (1)
Scopus-Elsevier
Scopus-Elsevier
Short text classification has found rich and critical applications in news and tweet tagging to help users find relevant information. Due to lack of labeled training data in many practical use cases, there is a pressing need for studying semi-supervi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62e90db64d20627b771a5bced5c10a77
https://doi.org/10.18653/v1/d19-1488
https://doi.org/10.18653/v1/d19-1488
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Graph neural network (GNN), as a powerful graph representation technique based on deep learning, has shown superior performance and attracted considerable research interest. Recently, some works attempt to generalize GNN to heterogeneous graph which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::548d4e5ef7a6a9dced7cb80755cc40ad
https://doi.org/10.1109/tkde.2021.3079239
https://doi.org/10.1109/tkde.2021.3079239