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

Overview

Polypharmacy - DDI - Synergy Survey

Awesome PRs Welcome Maturity level-0

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}
}

Contents

  1. High Level Models
  2. Low Level Models
  3. Hierarchical Models
  4. Datasets
  5. Related Survey Papers

License

You might also like...
Comments
  • ✨ Add

    ✨ 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
AstraZeneca
Info and sample codes for "NTU RGB+D Action Recognition Dataset"

"NTU RGB+D" Action Recognition Dataset "NTU RGB+D 120" Action Recognition Dataset "NTU RGB+D" is a large-scale dataset for human action recognition. I

Amir Shahroudy 578 Dec 30, 2022
Classification Modeling: Probability of Default

Credit Risk Modeling in Python Introduction: If you've ever applied for a credit card or loan, you know that financial firms process your information

Aktham Momani 2 Nov 07, 2022
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch

Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo

Gabriele Corso 56 Dec 23, 2022
Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention

cosFormer Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention Update log 2022/2/28 Add core code License This

120 Dec 15, 2022
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)

Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the

Son Gyo Jung 1 Jul 09, 2022
Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs

Hierarchical Clustering: O(1)-Approximation for Well-Clustered Graphs This repository contains code to accompany the paper "Hierarchical Clustering: O

3 Sep 25, 2022
This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network.

GPRGNN This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network. Hidden state feature extraction i

Jianhao 92 Jan 03, 2023
Code for "Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency" paper

UNICORN 🦄 Webpage | Paper | BibTex PyTorch implementation of "Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency" pap

118 Jan 06, 2023
The official homepage of the (outdated) COCO-Stuff 10K dataset.

COCO-Stuff 10K dataset v1.1 (outdated) Holger Caesar, Jasper Uijlings, Vittorio Ferrari Overview Welcome to official homepage of the COCO-Stuff [1] da

Holger Caesar 263 Dec 11, 2022
Pytorch implementation of "ARM: Any-Time Super-Resolution Method"

ARM-Net Dependencies Python 3.6 Pytorch 1.7 Results Train Data preprocessing cd data_scripts python extract_subimages_test.py python data_augmentation

Bohong Chen 55 Nov 24, 2022
ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch

ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch

Katherine Crowson 53 Dec 29, 2022
Code accompanying "Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity," accepted to IEEE SSCI ICES 2021

Evolving-spiking-neuron-cellular-automata-and-networks-to-emulate-in-vitro-neuronal-activity Code accompanying "Evolving spiking neuron cellular autom

SOCRATES: Self-Organizing Computational substRATES 2 Dec 02, 2022
The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

Directed Graph Contrastive Learning Paper | Poster | Supplementary The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL). In this

Tong Zekun 28 Jan 08, 2023
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs

Implementation for the paper: Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs, Nurendra Choudhary, Nikhil Rao, Sumeet Ka

Nurendra Choudhary 8 Nov 15, 2022
Video Autoencoder: self-supervised disentanglement of 3D structure and motion

Video Autoencoder: self-supervised disentanglement of 3D structure and motion This repository contains the code (in PyTorch) for the model introduced

157 Dec 22, 2022
基于Flask开发后端、VUE开发前端框架,在WEB端部署YOLOv5目标检测模型

基于Flask开发后端、VUE开发前端框架,在WEB端部署YOLOv5目标检测模型

37 Jan 01, 2023
Repositório para arquivos sobre o Módulo 1 do curso Top Coders da Let's Code + Safra

850-Safra-DS-ModuloI Repositório para arquivos sobre o Módulo 1 do curso Top Coders da Let's Code + Safra Para aprender mais Git https://learngitbranc

Brian Nunes 7 Dec 10, 2022
Model serving at scale

Run inference at scale Cortex is an open source platform for large-scale machine learning inference workloads. Workloads Realtime APIs - respond to pr

Cortex Labs 7.9k Jan 06, 2023
This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is accepted to ICCV2021.

GMPQ: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation This is the pytorch implementation for the paper: Generalizable Mix

18 Sep 02, 2022
FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization

FuseDream This repo contains code for our paper (paper link): FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimizat

XCL 191 Dec 31, 2022