GHGA-Net: Global Heterogeneous Graph Attention Network for Chinese Short Text Classification

Author:

Li Meimei,Bao Yuzhi,Liu Jiguo,Liu Chao,Li Nan,Gao Shihao

Publisher

Springer Nature Singapore

Reference21 articles.

1. Kim, Y.: Convolutional neural networks for sentence classification. Eprint Arxiv (2014)

2. Tao, H., Tong, S., Zhao, H., Xu, T., Jin, B., Liu, Q.: A radical-aware attention-based model for Chinese text classification. In: AAAI Conference on Artificial Intelligence (2019)

3. Wankhade, M., Rao, A.C.S., Kulkarni, C.: A survey on sentiment analysis methods, applications, and challenges. Artif. Intell. Rev. 55, 5731–5780 (2022)

4. Defferrard, M., Bresson, X., Vandergheynst, P.: Convolutional neural networks on graphs with fast localized spectral filtering. In: NIPS (2016)

5. Hu, L., Yang, T., Shi, C., Ji, H., Li, X.: Heterogeneous graph attention networks for semi-supervised short text classification. ACM Trans. Inf. Syst. (TOIS) 39, 1–29 (2019)

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