Sökning: "Generative Graph Modeling"

Hittade 1 uppsats innehållade orden Generative Graph Modeling.

  1. 1. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings

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

    Författare :Johan Hammarstedt; [2022]
    Nyckelord :Data Anonymization; Graph Learning; Generative Graph Modeling; Graph Clustering; Node Embedding; Synthetic Data; Dataanonymisering; Grafinlärning; Generativa graf-modeller; Graf klustring; Länk prediktion; Nodinbäddning; Syntetisk data;

    Sammanfattning : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. LÄS MER