Bachelor Thesis Open Access

Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment

Wolter, Clemens


JSON-LD (schema.org) Export

{
  "@context": "https://schema.org/", 
  "@type": "ScholarlyArticle", 
  "contributor": [], 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "KIT/ETP", 
      "name": "Wolter, Clemens"
    }
  ], 
  "datePublished": "2022-02-16", 
  "description": "<p>A continued study on using Graph Neural Networks for the classification of additional b jets in tt+bb events at the CMS experiment.</p>", 
  "headline": "Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment", 
  "image": "https://publish.etp.kit.edu/static/img/logos/zenodo-gradient-round.svg", 
  "inLanguage": {
    "@type": "Language", 
    "alternateName": "eng", 
    "name": "English"
  }, 
  "keywords": [
    "GNN", 
    "Hypergraph", 
    "CMS", 
    "Bayesian Optimization"
  ], 
  "name": "Bayesian Optimization of Graph Neural Networks with Hypergraph Inputs in tt + bb Events at the CMS Experiment", 
  "url": "https://publish.etp.kit.edu/record/22105"
}

Cite as