# LirongWu/MAPE-PPI

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

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

LirongWu/MAPE-PPI has 260 stars on GitHub. Its RepoMasters card: Alpha tier. Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient…

| Field | Value |
| --- | --- |
| Owner | [LirongWu](https://repo.masters-masters.com/en/owners/LirongWu) |
| Stars | 260 |
| Forks | 39 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | codebook, masked-modeling, microenvironment, ppi-networks, protein-embedding, protein-protein-interaction, protein-representation-learning, vocabulary |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [LirongWu/MAPE-PPI](https://github.com/LirongWu/MAPE-PPI) |

## Repository

Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"

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.
