# LirongWu/KDGA

<https://repo.masters-masters.com/en/repos/LirongWu/KDGA>

[Home](https://repo.masters-masters.com/en) › [LirongWu](https://repo.masters-masters.com/en/owners/LirongWu) › [KDGA](https://repo.masters-masters.com/en/repos/LirongWu/KDGA)

LirongWu/KDGA has 191 stars on GitHub. Its RepoMasters card: Prototype tier. Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure…

| Field | Value |
| --- | --- |
| Owner | [LirongWu](https://repo.masters-masters.com/en/owners/LirongWu) |
| Stars | 191 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | graph-augmentation, graph-neural-networks, graph-structure-learning, knowledge-distillation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [LirongWu/KDGA](https://github.com/LirongWu/KDGA) |

## Repository

Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"

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.