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

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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

上海交通大学全自动抢课脚本，支持准点开抢与抢课后持续捡漏两种模式。2021/06/08更新。

Colab notebook for openai/glide-text2im.

Hierarchical Cross-modal Talking Face Generation with Dynamic Pixel-wise Loss （ATVGnet）

Code for "Modeling Indirect Illumination for Inverse Rendering", CVPR 2022

TensorFlow implementation of PHM (Parameterization of Hypercomplex Multiplication)

Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

Automatic library of congress classification, using word embeddings from book titles and synopses.

render sprites into your desktop environment as shaped windows using GTK

Quadruped-command-tracking-controller - Quadruped command tracking controller (flat terrain)

Deep Surface Reconstruction from Point Clouds with Visibility Information

Multi-View Radar Semantic Segmentation

Tensorflow implementation of DeepLabv2

Official pytorch code for SSC-GAN: Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation(ICCV 2021)

Leaf: Multiple-Choice Question Generation

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

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3D detection and tracking viewer (visualization) for kitti & waymo dataset

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Align and Prompt: Video-and-Language Pre-training with Entity Prompts