# EdisonLeeeee/Graph-Adversarial-Learning

<https://repo.masters-masters.com/en/repos/EdisonLeeeee/Graph-Adversarial-Learning>

[Home](https://repo.masters-masters.com/en) › [EdisonLeeeee](https://repo.masters-masters.com/en/owners/EdisonLeeeee) › [Graph-Adversarial-Learning](https://repo.masters-masters.com/en/repos/EdisonLeeeee/Graph-Adversarial-Learning)

EdisonLeeeee/Graph-Adversarial-Learning has 589 stars on GitHub. Its RepoMasters card: Alpha tier. A curated collection of adversarial attack and defense on…

| Field | Value |
| --- | --- |
| Owner | [EdisonLeeeee](https://repo.masters-masters.com/en/owners/EdisonLeeeee) |
| Stars | 589 |
| Forks | 74 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2019 |
| Topics | graph-adversarial-learning, graph-data, machine-learning, semi-supervised-learning, adversarial-attack, defense, survey, awesome, resources |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [EdisonLeeeee/Graph-Adversarial-Learning](https://github.com/EdisonLeeeee/Graph-Adversarial-Learning) |

## Repository

A curated collection of adversarial attack and defense on graph data.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by EdisonLeeeee

- [EdisonLeeeee/Awesome-Masked-Autoencoders · ★ 870 · Beta](https://repo.masters-masters.com/en/repos/EdisonLeeeee/Awesome-Masked-Autoencoders)
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- [EdisonLeeeee/GraphGallery · ★ 475 · Python · Alpha](https://repo.masters-masters.com/en/repos/EdisonLeeeee/GraphGallery)
- [EdisonLeeeee/Awesome-Fair-Graph-Learning · ★ 143 · Prototype](https://repo.masters-masters.com/en/repos/EdisonLeeeee/Awesome-Fair-Graph-Learning)
- [EdisonLeeeee/RS-Adversarial-Learning · ★ 137 · Prototype](https://repo.masters-masters.com/en/repos/EdisonLeeeee/RS-Adversarial-Learning)
- [EdisonLeeeee/ICLR2023-OpenReviewData · ★ 107 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/EdisonLeeeee/ICLR2023-OpenReviewData)

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