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Auflistung nach Schlagwort "Graph Neural Network"

1 - 2 von 2
  • Konferenzbeitrag
    Graph-Based Time Token Recognition using Graph Neural Networks and Stanza Library
    (EnviroInfo 2023, 2023) Doms, Nicolas; Woernle, LisaHahn
    This publication aims to explore the capabilities of the Stanza NLP library on one hand and Graph Neural Networks on the other hand by combining them in a time token classification task. After providing information on the German ”WikiWarsDE” dataset that is used for training, the evaluation dataset consisting of environmental documents as well as the transformations applied to both datasets to enhance the model, the setup of the Neural Network is presented. Afterwards, some early test results are evaluated before possible enhancements to the model are suggested.
  • Konferenzbeitrag
    A Proposal for Physics-Informed Quantum Graph Neural Networks for Simulating Laser Cutting Processes
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Mehrin Ruhi, Zurana; Stein, Hannah; Maaß, Wolfgang
    Simulations are crucial for production monitoring and planning in manufacturing. Still, the performance of simulations based on mathematical modeling and machine learning methods is limited and opaque to widespread application. Quantum computing offers the potential for exponential acceleration of these tools, while physically informed neural networks (PINN) improve learning and reduce ambiguity. Objective of this paper is to explore the concept of developing a tool for laser cutting simulation based on a quantum neural network that can be trained on thermal physics principles.