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.

Date Created 2023-05-22 (about a year ago)
Commits 51 (last one 6 months ago)
Stargazers 34 (0 this week)
Watchers 1 (0 this week)
Forks 2
License mit
Ranking

RepositoryStats indexes 618,350 repositories, of these USC-InfoLab/NeuroGNN is ranked #569,210 (8th percentile) for total stargazers, and #558,147 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,337/18,432.

USC-InfoLab/NeuroGNN is also tagged with popular topics, for these it's ranked: python (#21,764/22999),  machine-learning (#7,842/8271),  bioinformatics (#795/834),  ml (#592/641),  graph-neural-networks (#562/603),  neuroscience (#177/185),  healthcare (#158/168),  health (#131/138),  eeg (#126/135)

Other Information

USC-InfoLab/NeuroGNN has Github issues enabled, there is 1 open issue and 2 closed issues.

Star History

Github stargazers over time

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

51 commits on the default branch (main) since jan '22

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Yearly Commits

Commits to the default branch (main) per year

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Issue History

Total Issues
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Closed Issues
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Languages

The primary language is Jupyter Notebook but there's also others...

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updated: 2025-02-15 @ 04:50pm, id: 644107431 / R_kgDOJmRMpw