EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

Research article (Applied Soft Computing, 2020) · cited 454× · AI/ML
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EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

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EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/eeg-emotion-recognition-using-fusion-model-of-graph-convolutional-neural-networks-and-lstm
MLA “EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eeg-emotion-recognition-using-fusion-model-of-graph-convolutional-neural-networks-and-lstm.
BibTeX @misc{4ortxyz_eeg-emotion-recognition-using-fusion-model-of-graph-convolutional-neural-networks-and-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/eeg-emotion-recognition-using-fusion-model-of-graph-convolutional-neural-networks-and-lstm}, note = {Accessed: 2026-05-24}}
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