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AT-DGNN

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data/at-dgnn

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

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Data & Standards
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
deap · deap-dataset · dgcnn · eeg · emotion-recognition · gnns
Regulatory
unknown
built by · 2

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.

  • multi-task-cnn-eeg-emotiondeap-dataset · eeg · emotion-recognition

    Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

  • NeuroGNNeeg · gnns

    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,…

  • AI-NLP-Paper-Readingseeg · emotion-recognition

    This is my reading list for my PhD in AI, NLP, Deep Learning and more.

  • Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network

  • EEG-Emotion-Recognitionemotion-recognition

    EEG-Based Emotion Recognition

  • Data set and source code used in "Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study."

sources
  1. api.github.com/repos/xmh1011/AT-DGNN
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-04-22, 110 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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machine-readable

/v1/entries/46.json→ .entries["at-dgnn"]

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