# yaqingwang/EANN-KDD18

<https://repo.masters-masters.com/en/repos/yaqingwang/EANN-KDD18>

[Home](https://repo.masters-masters.com/en) › [yaqingwang](https://repo.masters-masters.com/en/owners/yaqingwang) › [EANN-KDD18](https://repo.masters-masters.com/en/repos/yaqingwang/EANN-KDD18)

yaqingwang/EANN-KDD18 has 281 stars on GitHub. Its RepoMasters card: Alpha tier. EANN: event-adversarial neural networks for multi-modal fake news detection

| Field | Value |
| --- | --- |
| Owner | [yaqingwang](https://repo.masters-masters.com/en/owners/yaqingwang) |
| Stars | 281 |
| Forks | 86 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | adversarial-networks, deep-learning, fake-news, social-media, kdd2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [yaqingwang/EANN-KDD18](https://github.com/yaqingwang/EANN-KDD18) |

## Repository

EANN: event-adversarial neural networks for multi-modal fake news detection

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

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