Open Access
| Issue |
ITM Web Conf.
Volume 73, 2025
International Workshop on Advanced Applications of Deep Learning in Image Processing (IWADI 2024)
|
|
|---|---|---|
| Article Number | 02015 | |
| Number of page(s) | 7 | |
| Section | Machine Learning, Deep Learning, and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257302015 | |
| Published online | 17 February 2025 | |
- T. Yingying, W. Junli, Z. Chaobo, Review of text classification methods based on graph convolutional network, Computer Science, 49(8), 205-216 (2022) [Google Scholar]
- K. Church, P. Hanks, Word association norms, mutual information, and lexicography, Comput. Linguist. 16(1), 22-29 (1990) [Google Scholar]
- K. Wang, S.-C. Han, J. Poon, Inductgcn: Inductive graph convolutional networks for text classification, in Proceedings of the 26th International Conference on Pattern Recognition (ICPR), IEEE, (2022), 1243-1249 [Google Scholar]
- F. Wu, A. Souza, T. Zhang, et al., Simplifying graph convolutional networks, in Proceedings of the International Conference on Machine Learning, PMLR, (2019), 6861-6871 [Google Scholar]
- L. Huang, D. Ma, S. Li, et al., Text level graph neural network for text classification. arXiv preprint, arXiv:1910.02356 (2019) [Google Scholar]
- H. Gao, Y. Chen, J. Jis, Learning graph pooling and convolutional operations for text representation, in Proceedings of the World Wide Web Conference, (2019), 2743-2749 [Google Scholar]
- Y. Dai, L. Shou, M. Gong, X. Xia, Z. Kang, Z. Xu, D. Jiang, Graph fusion network for text classification, Knowl. Based Syst. 236, 107659 (2022) [CrossRef] [Google Scholar]
- K. Dong, Y. Liu, F. Xu, et al., DCAT: Combining multisemantic dual-channel attention fusion for text classification, IEEE Intell. Syst. 38(4), 10-19 (2023) [CrossRef] [Google Scholar]
- Y. Lin, Y. Meng, X. Sun, et al., BertGCN: Transductive text classification by combining GCN and BERT, arXiv:2105.05727 (2021) [Google Scholar]
- X. Xu, Z. Xu, Z. Ling, et al., Comprehensive implementation of TextCNN for enhanced collaboration between natural language processing and system recommendation, in Proceedings of the International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), SPIE 13180, (2024), 1527-1532 [Google Scholar]
- H. Chang, L. Xiaozhong, Fusion of graph embedding and BERT embedded text categorization model, Learn. Tianjin Univ. Sci. Technol. 1-9 (2024) [Google Scholar]
- L. Hou, J. Liu, X. Yu, J. Du, Review of graph neural networks, Computer Science, 51(6), 282-298 (2024) [Google Scholar]
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