USC-InfoLab/NeuroGNN
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
Jupyter NotebookMIT
Stargazers
- ArashhsLos Angeles, CA
- Arman-hsSydney, NSW, Australia
- Cloud-CL
- drewwilimitisVanderbilt University
- HDUstuY
- kk12342005
- mhmnemati
- msiampouInfoLab, University of Southern California
- partha7827Chennai
- peterzy1978921771zhengzhou city
- rzy0901SUSTech
- seanbeardenSan Diego, CA, USA
- soubhattaTechno Main Saltlake
- tian-2024Shenzhen
- usstpcg
- wozaimoyuNortheastern University
- wuwobuhuan
- xiaoxiongzhg
- YL29399Leibniz Universität Hannover
- Zeigar