dwave-examples / immunization-strategyLinks
Find the minimal number of immunization doses required to break the transmission cycle of a virus or infectious disease within a population. Solved using the LeapHybridCQMSampler.
☆14Updated last year
Alternatives and similar repositories for immunization-strategy
Users that are interested in immunization-strategy are comparing it to the libraries listed below
Sorting:
- Determine which airports should be hub locations for an airline. Solved using the LeapHybridCQMSampler.☆12Updated last year
- Quantum Gene Regulatory Networks with Application to Single-cell Data☆23Updated 11 months ago
- Quantum Accelerated Genome Sequencing☆11Updated 4 years ago
- Finds the optimal stem configuration of an RNA sequence using the LeapHybridCQMSampler.☆17Updated 2 years ago
- single-cell RNA-seq clustering☆10Updated 5 years ago
- PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.☆95Updated last year
- ☆17Updated 5 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Updated 4 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆79Updated last year
- single-cell graph autoencoder☆25Updated 4 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆100Updated 2 years ago
- Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks☆20Updated last year
- Library of python functions for the analysis of hypergraphs.☆15Updated 11 months ago
- An unsupervised scRNA-seq analysis workflow with graph attention networks☆25Updated 2 years ago
- Code for Nature Scientific Reports 2020 paper: "Unsupervised generative and graph neural methods for modelling cell differentiation" by I…☆18Updated 5 years ago
- OhmNet: Representation learning in multi-layer graphs☆84Updated 5 years ago
- ☆65Updated 6 years ago
- Implementation of Quantum Graph Recurrent Neural Network (QGRNN)☆20Updated 4 years ago
- Probabilistic modelling with tensor networks☆30Updated 6 years ago
- This repository contains the source code of Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry☆28Updated 2 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 4 years ago
- This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to …☆15Updated 4 months ago
- Disease pathways in the human interactome☆23Updated 7 years ago
- ☆80Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- ☆15Updated last year
- Here I explain the math behind UMAP and show how to program it from scratch in Python☆38Updated 5 years ago
- Use mutual information to select features in a Titanic data set☆33Updated last year
- GLEE: Geometric Laplacian Eigenmap Embedding☆11Updated 5 years ago
- Latent spaces for single cells☆21Updated 2 years ago