# xmh1011/AT-DGNN

<https://repo.masters-masters.com/en/repos/xmh1011/AT-DGNN>

[Home](https://repo.masters-masters.com/en) › [xmh1011](https://repo.masters-masters.com/en/owners/xmh1011) › [AT-DGNN](https://repo.masters-masters.com/en/repos/xmh1011/AT-DGNN)

xmh1011/AT-DGNN has 110 stars on GitHub. Its RepoMasters card: Prototype tier. \[BIBM2024\] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music…

| Field | Value |
| --- | --- |
| Owner | [xmh1011](https://repo.masters-masters.com/en/owners/xmh1011) |
| Stars | 110 |
| Forks | 4 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | dgcnn, eeg, emotion-recognition, deap-dataset, gnns, deap |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [xmh1011/AT-DGNN](https://github.com/xmh1011/AT-DGNN) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.