# safe-graph/graph-adversarial-learning-literature

<https://repo.masters-masters.com/repos/safe-graph/graph-adversarial-learning-literature>

[Accueil](https://repo.masters-masters.com/) › [safe-graph](https://repo.masters-masters.com/owners/safe-graph) › [graph-adversarial-learning-literature](https://repo.masters-masters.com/repos/safe-graph/graph-adversarial-learning-literature)

safe-graph/graph-adversarial-learning-literature, dépôt open source à 864 étoiles sur GitHub. Carte Bêta de RepoMasters. A curated list of adversarial attacks…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [safe-graph](https://repo.masters-masters.com/owners/safe-graph) |
| Étoiles | 864 |
| Forks | 131 |
| Langage | Sans langage |
| Licence | Aucune |
| Création | 2019 |
| Sujets | machine-learning, graph-algorithms, adversarial-machine-learning, data-mining, awesome-list, literature-review, deep-learning, security, graph-attack, adversarial-attacks |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [safe-graph/graph-adversarial-learning-literature](https://github.com/safe-graph/graph-adversarial-learning-literature) |

## Fiche du dépôt

A curated list of adversarial attacks and defenses papers on graph-structured data.

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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- [safe-graph/GNN-FakeNews · ★ 557 · Python · Alpha](https://repo.masters-masters.com/repos/safe-graph/GNN-FakeNews)
- [safe-graph/DGFraud-TF2 · ★ 139 · Python · Prototype](https://repo.masters-masters.com/repos/safe-graph/DGFraud-TF2)
- [safe-graph/UGFraud · ★ 133 · Python · Prototype](https://repo.masters-masters.com/repos/safe-graph/UGFraud)

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.