neerajwagh / eeg-gcnn

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Date Created 2020-11-03 (4 years ago)

Commits 30 (last one 2 years ago)

Stargazers 161 (2 this week)

Watchers 5 (0 this week)

Forks 31

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these neerajwagh/eeg-gcnn is ranked #208,671 (64th percentile) for total stargazers, and #332,313 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #37,485/116,326.

neerajwagh/eeg-gcnn is also tagged with popular topics, for these it's ranked: deep-learning (#3,959/8389), machine-learning (#3,707/7926), pytorch (#2,779/5948), graph-neural-networks (#198/581), eeg (#44/125)

Other Information

neerajwagh/eeg-gcnn has Github issues enabled, there is 1 open issue and 11 closed issues.

All Topics

eeg ml4h neurips pytorch eeg-gcnn dgl-graph eeg-signals neurips-2020 deep-learning machine-learning eeg-classification convolutional-network graph-neural-networks eeg-signals-processing

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14 commits on the default branch (master) since jan '22

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updated: 2024-11-20 @ 02:56pm, id: 309585989 / R_kgDOEnPoRQ