GNNctd: A graph neural network based on complicated temporal dependencies modeling for fashion trend prediction

Author:

Chen Jia,Li Zhaoyong,Yang Kai,Hu XinrongORCID,Fang Fei

Publisher

Elsevier BV

Reference59 articles.

1. Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Knowledge enhanced neural fashion trend forecasting, in: Proceedings of the 2020 International Conference on Multimedia Retrieval, 2020, pp. 82–90.

2. Wrinkles in a CSR story: mismatched agendas in fast fashion service brands’ CSR reputation;Mickelsson;J. Serv. Manag.,2023

3. Ziad Al-Halah, Rainer Stiefelhagen, Kristen Grauman, Fashion forward: Forecasting visual style in fashion, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 388–397.

4. Leveraging multiple relations for fashion trend forecasting based on social media;Ding;IEEE Trans. Multimed.,2021

5. A review of data-driven building energy consumption prediction studies;Amasyali;Renew. Sustain. Energy Rev.,2018

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