Sökning: "Graph neural networks"

Visar resultat 1 - 5 av 37 uppsatser innehållade orden Graph neural networks.

  1. 1. Quantum Error Correction Using Graph Neural Networks

    Master-uppsats, Göteborgs universitet / Institutionen för fysik

    Författare :Valdemar Bergentall; [2021-06-17]
    Nyckelord :Quantum error correction; surface code; graph neural networks;

    Sammanfattning : A graph neural network (GNN) is constructed and trained with a purpose of usingit as a quantum error correction decoder for depolarized noise on the surface code.Since associating syndromes on the surface code with graphs instead of grid-likedata seemed promising, a previous decoder based on the Markov Chain Monte Carlomethod was used to generate data to create graphs. LÄS MER

  2. 2. Predicting safe drug combinations with Graph Neural Networks (GNN)

    Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Författare :Amirhossein Amanzadi; [2021]
    Nyckelord :Drug Combination; Polypharmacy Side Effects; Graph Neural Networks;

    Sammanfattning : Many people - especially during their elderly - consume multiple drugs for the treatment of complex or co-existing diseases. Identifying side effects caused by polypharmacy is crucial for reducing mortality and morbidity of the patients which will lead to improvement in their quality of life. LÄS MER

  3. 3. Optimisation of autoencoders for prediction of SNPs determining phenotypes in wheat

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildningUppsala universitet/Institutionen för informationsteknologi

    Författare :Karthik Nair; [2021]
    Nyckelord :Deep Learning; Machine Learning; Convolutional Neural Networks; Convolutional Variational Autoencoders; Autoencoders; SNP-Phenotype relationships; Genetics; Agricultural Bioinformatics; Neural Networks; Unsupervised Learning;

    Sammanfattning : The increase in demand for food has resulted in increased demand for tools that help streamline plant breeding process in order to create new varieties of crops. Identifying the underlying genetic mechanism of favourable characteristics is essential in order to make the best breeding decisions. LÄS MER

  4. 4. Graph Neural Networks for Article Recommendation based on Implicit User Feedback and Content

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Márk Bereczki; [2021]
    Nyckelord :Recommender systems; Implicit recommendation; Graph neural networks; Simple Graph Convolution; Natural language processing; Rekommendationssystem; Implicit rekommendation; Grafneurala nätverk; Simple Graph Convolution; Naturlig språkbehandling;

    Sammanfattning : Recommender systems are widely used in websites and applications to help users find relevant content based on their interests. Graph neural networks achieved state- of-the- art results in the field of recommender systems, working on data represented in the form of a graph. LÄS MER

  5. 5. Approaching sustainable mobility utilizing graph neural networks

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Robin Gunnarsson; Alexander Åkermark; [2021]
    Nyckelord :Graph neural network; GNN; sustainable mobility; GCN; graph; Neural network; Cora; Fuel consumption prediction; graph;

    Sammanfattning : This report is done in collaboration with WirelessCar for the master of science thesis at Halmstad University. Many different parameters influence fuel consumption. The objective of the report is to evaluate if Graph neural networks are a practical model to perform fuel consumption prediction on areas. LÄS MER