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

You might also like...

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

PyGCL: A PyTorch Library for Graph Contrastive Learning

Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

Interactive Image Segmentation via Backpropagating Refinement Scheme

某学校选课系统GIF验证码数据集 + Baseline模型 + 上下游相关工具

Facial Image Inpainting with Semantic Control

This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

Pseudo-Visual Speech Denoising

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

《Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement》(ECCV 2020) GitHub: [fig9]

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

BT-Unet: A-Self-supervised-learning-framework-for-biomedical-image-segmentation-using-Barlow-Twins

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

EfficientNetv2 TensorRT int8

Implementation of Gans

Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

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

You might also like...

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

PyGCL: A PyTorch Library for Graph Contrastive Learning

Implementation of Research Paper "Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation"

Interactive Image Segmentation via Backpropagating Refinement Scheme

某学校选课系统GIF验证码数据集 + Baseline模型 + 上下游相关工具

Facial Image Inpainting with Semantic Control

This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

Pseudo-Visual Speech Denoising

TensorFlow Metal Backend on Apple Silicon Experiments (just for fun)

《Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement》(ECCV 2020) GitHub: [fig9]

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

BT-Unet: A-Self-supervised-learning-framework-for-biomedical-image-segmentation-using-Barlow-Twins

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

PyTorch implementation of D2C: Diffuison-Decoding Models for Few-shot Conditional Generation.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

EfficientNetv2 TensorRT int8

Implementation of Gans

Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

Group R-CNN for Point-based Weakly Semi-supervised Object Detection (CVPR2022)

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.