Funder
National Natural Science Foundation of China
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference32 articles.
1. Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation;Ghosal,2019
2. T. Ishiwatari, Y. Yasuda, T. Miyazaki, J. Goto, Relation-aware graph attention networks with relational position encodings for emotion recognition in conversations, in: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020, pp. 7360–7370.
3. DECN: Dialogical emotion correction network for conversational emotion recognition;Lian;Neurocomputing,2021
4. A survey of heterogeneous information network analysis;Shi;IEEE Trans. Knowl. Data Eng.,2016
5. L. Yao, C. Mao, Y. Luo, Graph convolutional networks for text classification, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33, 2019, pp. 7370–7377.
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