GitPedia

Awesome drug pair scoring

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

From AstraZeneca·Updated April 28, 2026·View on GitHub·

This repository accompanies our survey paper [A Unified View of Relational Deep Learning for Drug Pair Scoring](https://arxiv.org/abs/2111.02916). The project is distributed under the Apache License 2.0 license, first published in 2021. Key topics include: chemistry, ddi, decagon, deep-chemistry, deep-learning.

Latest release: v_000020.0.2. Relational Gaifman Models and Dataset
January 3, 2022View Changelog →

Awesome Drug Pair Scoring

Awesome
PRs Welcome
Maturity level-0

<p align="center"> <img width="800" src="https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/base_survey_text.jpg"> </p>

The Survey Paper

This repository accompanies our survey paper A Unified View of Relational Deep Learning for Drug Pair Scoring.

If you find the survey or this repository useful in your research, please consider citing our paper:

bibtex
@inproceedings{pairscoring, title = {A Unified View of Relational Deep Learning for Drug Pair Scoring}, author = {Rozemberczki, Benedek and Bonner, Stephen and Nikolov, Andriy and Ughetto, Michaël and Nilsson, Sebastian and Papa, Eliseo}, booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, {IJCAI-22}}, publisher = {International Joint Conferences on Artificial Intelligence Organization}, pages = {5564--5571}, year = {2022}, }

Contents

  1. High Level Models
  2. Low Level Models
  3. Hierarchical Models
  4. Datasets
  5. Related Survey Papers

License

Contributors

Showing top 4 contributors by commit count.

View all contributors on GitHub →

This article is auto-generated from AstraZeneca/awesome-drug-pair-scoring via the GitHub API.Last fetched: 6/15/2026