# AstraZeneca/awesome-drug-pair-scoring

<https://repo.masters-masters.com/en/repos/AstraZeneca/awesome-drug-pair-scoring>

[Home](https://repo.masters-masters.com/en) › [AstraZeneca](https://repo.masters-masters.com/en/owners/AstraZeneca) › [awesome-drug-pair-scoring](https://repo.masters-masters.com/en/repos/AstraZeneca/awesome-drug-pair-scoring)

AstraZeneca/awesome-drug-pair-scoring has 102 stars on GitHub. Its RepoMasters card: Prototype tier. Readings for "A Unified View of Relational Deep Learning…

| Field | Value |
| --- | --- |
| Owner | [AstraZeneca](https://repo.masters-masters.com/en/owners/AstraZeneca) |
| Stars | 102 |
| Forks | 17 |
| Language | No language |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | ddi, drug-synergy, synergy-prediction, deep-chemistry, chemistry, polypharmacy, deep-learning, machine-learning, relational-learning, drug-combination |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AstraZeneca/awesome-drug-pair-scoring](https://github.com/AstraZeneca/awesome-drug-pair-scoring) |

## Repository

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

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.