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SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition
Research article (Journal of Neural Engineering, 2022) · cited 14× · AI/ML
SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition
Summary
SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition is a scholarly article[1].
Key Facts
SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/scc-mpgcn-self-attention-coherence-clustering-based-on-multi-pooling-graph-convolutional-network-for-eeg-emotion-recogni
MLA“SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scc-mpgcn-self-attention-coherence-clustering-based-on-multi-pooling-graph-convolutional-network-for-eeg-emotion-recogni.
BibTeX@misc{4ortxyz_scc-mpgcn-self-attention-coherence-clustering-based-on-multi-pooling-graph-convolutional-network-for-eeg-emotion-recogni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition}}, year = {2026}, url = {https://4ort.xyz/entity/scc-mpgcn-self-attention-coherence-clustering-based-on-multi-pooling-graph-convolutional-network-for-eeg-emotion-recogni}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SCC-MPGCN: self-attention coherence clustering based on multi-pooling graph convolutional network for EEG emotion recognition — https://4ort.xyz/entity/scc-mpgcn-self-attention-coherence-clustering-based-on-multi-pooling-graph-convolutional-network-for-eeg-emotion-recogni (retrieved 2026-05-24)
