NeuroGNN
importeddevices/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,…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Devices & Hardware
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- USC-InfoLab
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/USC-InfoLab/NeuroGNN
- Documentation
- unknown
- Tags
- bioinformatics · brain · correlations · disease-prediction · dynamic-gnns · eeg · gnn · gnns
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- AT-DGNNeeg · gnns
[BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
- GNN_for_EHRdisease-prediction · gnn
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
- brain-go-brr-v2eeg · gnn
TCN + Bi-Mamba/FLA + GNN + Dynamic LPE for Clinical EEG Seizure Detection
- GGNeeg · gnn
GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)
- diffusion-hoppingbioinformatics · gnn
DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping
- Cartoolbrain · eeg
EEG & MRI processing, Micro-States analysis & Sources localization
- api.github.com/repos/USC-InfoLab/NeuroGNNretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-08-07, 63 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/9.json→ .entries["neurognn"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.