Awesome drug pair scoring
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
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_00002— 0.0.2. Relational Gaifman Models and Dataset
January 3, 2022View Changelog →
Awesome Drug Pair Scoring
<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}, }
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