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

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

ESRGAN (Enhanced SRGAN) [ 🚀 BasicSR] [Real-ESRGAN] ✨ New Updates. We have extended ESRGAN to Real-ESRGAN, which is a more practical algorithm for rea

4.7k Jan 02, 2023

Transformers based fully on MLPs

Awesome MLP-based Transformers papers An up-to-date list of Transformers based fully on MLPs without attention! Why this repo? After transformers and

35 Dec 30, 2022

Human Pose estimation with TensorFlow framework

Human Pose Estimation with TensorFlow Here you can find the implementation of the Human Body Pose Estimation algorithm, presented in the DeeperCut and

1.1k Dec 29, 2022

A task-agnostic vision-language architecture as a step towards General Purpose Vision

Towards General Purpose Vision Systems By Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, and Derek Hoiem Overview Welcome to the official code base f

79 Dec 23, 2022

CATE: Computation-aware Neural Architecture Encoding with Transformers

CATE: Computation-aware Neural Architecture Encoding with Transformers Code for paper: CATE: Computation-aware Neural Architecture Encoding with Trans

16 Dec 27, 2022

Position detection system of mobile robot in the warehouse enviroment

1 Nov 24, 2021

🔅 Shapash makes Machine Learning models transparent and understandable by everyone

🎉 What's new ? Version New Feature Description Tutorial 1.6.x Explainability Quality Metrics To help increase confidence in explainability methods, y

2.1k Dec 27, 2022

TransMorph: Transformer for Medical Image Registration

TransMorph: Transformer for Medical Image Registration keywords: Vision Transformer, Swin Transformer, convolutional neural networks, image registrati

180 Jan 07, 2023

Code for the ICML 2021 paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

ViLT Code for the paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision" Install pip install -r requirements.txt pip

922 Jan 01, 2023

Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models

Explainable_FIQA_WITH_AMVA Note This is the official repository of the paper: Explainability of the Implications of Supervised and Unsupervised Face I

3 May 08, 2022

Learning from graph data using Keras

Steps to run = Download the cora dataset from this link : https://linqs.soe.ucsc.edu/data unzip the files in the folder input/cora cd code python eda

64 Nov 16, 2022

Cockpit is a visual and statistical debugger specifically designed for deep learning.

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

421 Dec 29, 2022

Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".

Robust Object Detection via Instance-Level Temporal Cycle Confusion This repo contains the implementation of the ICCV 2021 paper, Robust Object Detect

69 Oct 13, 2022

This tool converts a Nondeterministic Finite Automata (NFA) into a Deterministic Finite Automata (DFA)

1 Feb 04, 2022

PyTorch Implementation of Vector Quantized Variational AutoEncoders.

Pytorch implementation of VQVAE. This paper combines 2 tricks: Vector Quantization (check out this amazing blog for better understanding.) Straight-Th

2 Oct 06, 2021

This repository contains a re-implementation of the code for the CVPR 2021 paper "Omnimatte: Associating Objects and Their Effects in Video."

Omnimatte in PyTorch This repository contains a re-implementation of the code for the CVPR 2021 paper "Omnimatte: Associating Objects and Their Effect

728 Dec 28, 2022

TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments for IV 2022.

TorchGRL TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffi

42 Dec 09, 2022

Code and data for the EMNLP 2021 paper "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts". Coming soon!

ToxiChat Code and data for the EMNLP 2021 paper "Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts". Install depen

11 Jan 01, 2023

Chinese clinical named entity recognition using pre-trained BERT model

Chinese clinical named entity recognition (CNER) using pre-trained BERT model Introduction Code for paper Chinese clinical named entity recognition wi

109 Dec 14, 2022

ML-Decoder: Scalable and Versatile Classification Head

ML-Decoder: Scalable and Versatile Classification Head Paper Official PyTorch Implementation Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben-Baru

189 Jan 04, 2023