EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals
Summary
EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals is a scholarly article[1].
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EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/eeg-genet-a-feature-level-graph-embedding-method-for-motor-imagery-classification-based-on-eeg-signals
MLA“EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eeg-genet-a-feature-level-graph-embedding-method-for-motor-imagery-classification-based-on-eeg-signals.
BibTeX@misc{4ortxyz_eeg-genet-a-feature-level-graph-embedding-method-for-motor-imagery-classification-based-on-eeg-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals}}, year = {2026}, url = {https://4ort.xyz/entity/eeg-genet-a-feature-level-graph-embedding-method-for-motor-imagery-classification-based-on-eeg-signals}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EEG_GENet: A feature-level graph embedding method for motor imagery classification based on EEG signals — https://4ort.xyz/entity/eeg-genet-a-feature-level-graph-embedding-method-for-motor-imagery-classification-based-on-eeg-signals (retrieved 2026-05-24)
