openmedical/registry
← registry

AT-DGNN

imported

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.

AT-DGNN project image
GitHub preview card for xmh1011/AT-DGNN. Served by its origin, not stored here, and not covered by this registry’s licence.
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.

  • Emotion-detection-from-EEGdeap-dataset · eeg · emotion-recognition

    KNN classifier for human emotion from EEG

  • 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,…

  • Select materials to output molecules similar to the target molecule with MCTS Solver and Genetic Programming.

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

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

  • LGF-EEG-Emotioneeg · emotion-recognition

    PyTorch implementation of a local-global feature fusion framework for subject-independent EEG emotion recognition under LOSO evaluation.

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.

Not yet verified by a human. Correct this record →

machine-readable

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

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.