Sökning: "nodklassificering"

Hittade 2 uppsatser innehållade ordet nodklassificering.

1. 1. An unsupervised method for Graph Representation Learning

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

   Författare :Yi Ren; [2022]
   Nyckelord :Graph Representation Learning; unsupervised learning; machine learning;

   Sammanfattning : Internet services, such as online shopping and chat apps, have been spreading significantly in recent years, generating substantial amounts of data. These data are precious for machine learning and consist of connections between different entities, such as users and items. LÄS MER

3. 2. Using Graph Neural Networks for Track Classification and Time Determination of Primary Vertices in the ATLAS Experiment

   Master-uppsats, KTH/Matematisk statistik

   Författare :Mattias Gullstrand; Stefan Maraš; [2020]
   Nyckelord :Time determination; graph neural network; graph attentional network; HGTD; vertex; node classification; particle physics; machine learning; Tidsbestämning; neurala grafnätverk; uppvaktande grafnätverk; HGTD; vertex; nodklassificering; partikelfysik; statistisk inlärning;

   Sammanfattning : Starting in 2027, the high-luminosity Large Hadron Collider (HL-LHC) will begin operation and allow higher-precision measurements and searches for new physics processes between elementary particles. One central problem that arises in the ATLAS detector when reconstructing event information is to separate the rare and interesting hard scatter (HS) interactions from uninteresting pileup (PU) interactions in a spatially compact environment. LÄS MER