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NeuroGNN

imported

devices/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.

record
Category
Devices & Hardware
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
USC-InfoLab
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
bioinformatics · brain · correlations · disease-prediction · dynamic-gnns · eeg · gnn · gnns
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • GNN_for_EHRdisease-prediction · gnn

    Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

  • AT-DGNNeeg · gnns

    [BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

  • GGNeeg · gnn

    GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)

  • Mentifydisease-prediction

    An all in one solution for mental health issues

  • diffusion-hoppingbioinformatics · gnn

    DiffHopp: A Graph Diffusion Model for Novel Drug Design via Scaffold Hopping

  • brain-monitorbrain · eeg

    A terminal app written in Node.js to monitor brain signals in real-time

sources
  1. api.github.com/repos/USC-InfoLab/NeuroGNN
    retrieved 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 →

machine-readable

/v1/entries/9.json→ .entries["neurognn"]

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