{"id":13487675,"url":"https://github.com/AstraZeneca/awesome-drug-pair-scoring","last_synced_at":"2025-03-27T22:31:50.823Z","repository":{"id":45194168,"uuid":"352453058","full_name":"AstraZeneca/awesome-drug-pair-scoring","owner":"AstraZeneca","description":"Readings for \"A Unified View of Relational Deep Learning for Drug Pair Scoring.\" (IJCAI 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Awesome Lists","Awesome Chemistry Repositories in Github","Ranked by starred repositories"],"sub_categories":["Comics"],"readme":"\n# Awesome Drug Pair Scoring\n[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)\n![Maturity level-0](https://img.shields.io/badge/Maturity%20Level-ML--0-red)\n\n\n\u003cp align=\"center\"\u003e\n  \u003cimg width=\"800\" src=\"https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/base_survey_text.jpg\"\u003e\n\u003c/p\u003e\n\n\n\n## The Survey Paper\n\nThis repository accompanies our survey paper [A Unified View of Relational Deep Learning for Drug Pair Scoring](https://arxiv.org/abs/2111.02916).\n\nIf you find the survey or this repository useful in your research, please consider citing our paper:\n\n```bibtex\n@inproceedings{pairscoring,\n  title     = {A Unified View of Relational Deep Learning for Drug Pair Scoring},\n  author    = {Rozemberczki, Benedek and Bonner, Stephen and Nikolov, Andriy and Ughetto, Michaël and Nilsson, Sebastian and Papa, Eliseo},\n  booktitle = {Proceedings of the Thirty-First International Joint Conference on\n               Artificial Intelligence, {IJCAI-22}},\n  publisher = {International Joint Conferences on Artificial Intelligence Organization},\n  pages     = {5564--5571},\n  year      = {2022},\n}\n```\n--------------------------------------------------------------------------------\n\n## Contents  \n\n1. [High Level Models](https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/chapters/high_level.md)\n2. [Low Level Models](https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/chapters/low_level.md)\n3. [Hierarchical Models](https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/chapters/hierarchical.md)\n4. [Datasets](https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/chapters/dataset.md)  \n5. [Related Survey Papers](https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/chapters/survey.md)  \n\n--------------------------------------------------------------------------------\n\n**License**\n\n- [Apache 2.0](https://github.com/AstraZeneca/polypharmacy-ddi-synergy-survey/blob/master/LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAstraZeneca%2Fawesome-drug-pair-scoring","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FAstraZeneca%2Fawesome-drug-pair-scoring","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FAstraZeneca%2Fawesome-drug-pair-scoring/lists"}