Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

Last update: Jan 05, 2023

Overview

Polypharmacy - DDI - Synergy Survey

The Survey Paper

This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction.

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

@inproceedings{poliddicombisurvey,
       title = {{A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction}},
       author = {Benedek Rozemberczki and Stephen Bonner and Andriy Nikolov and Michaël Ughetto and Sebastian Nilsson and Eliseo Papa},
       year = {2021}
}

License

Apache 2.0

Comments

✨ Add "Relational Gaifman Models" + dataset
Add "Efficient Learning of Relational Gaifman Models using Probabilistic Logic" and dataset links

It might make sense to refer to one of the papers with respect to "high-level" or "low-level" models (see related publications here: https://srlearn.github.io/relational-datasets/dataset_descriptions/drug_interactions/). For now, this pull request adds links to the 2019 PLP paper under "Datasets."
opened by hayesall 0

Releases(v_00002)

v_00002(Jan 3, 2022)
What's Changed

✨ Add "Relational Gaifman Models" + dataset by @hayesall in https://github.com/AstraZeneca/awesome-drug-pair-scoring/pull/1

New Contributors

@hayesall made their first contribution in https://github.com/AstraZeneca/awesome-drug-pair-scoring/pull/1

Full Changelog: https://github.com/AstraZeneca/awesome-drug-pair-scoring/compare/v_00001...v_00002
Source code(tar.gz)
Source code(zip)
v_00001(Nov 29, 2021)
The repository covers deep learning papers that solve these tasks:

Drug - Drug Interaction Prediction

Polypharmacy Side Effect Prediction

Drug Combination Synergy Scoring

Source code(tar.gz)
Source code(zip)

Owner

AstraZeneca

Data and AI: Unlocking new science insights

GitHub Repository

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191 Dec 26, 2022

Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

Related tags

Overview

Polypharmacy - DDI - Synergy Survey

The Survey Paper

Contents

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Comments

✨ Add "Relational Gaifman Models" + dataset

Releases(v_00002)

v_00002(Jan 3, 2022)

What's Changed

New Contributors

v_00001(Nov 29, 2021)

Owner

AstraZeneca

SpiroMask: Measuring Lung Function Using Consumer-Grade Masks

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

Official implementation of VQ-Diffusion

Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs

The official implementation of paper "Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks" (IJCV under review).

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Deep Learning Based Fasion Recommendation System for Ecommerce

Python interface for SmartRF Sniffer 2 Firmware

Implementation of Neural Style Transfer in Pytorch

[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

WarpRNNT loss ported in Numba CPU/CUDA for Pytorch

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

Tracking Progress in Question Answering over Knowledge Graphs

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