Essays about: "Riktade grafer"

Showing result 6 - 10 of 17 essays containing the words Riktade grafer.

  1. 6. Generating Directed & Weighted Synthetic Graphs using Low-Rank Approximations

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Erik Lundin; [2022]
    Keywords : graphs; networks; graph generation; synthetic data; machine learning; low-rank approximation;

    Abstract : Generative models for creating realistic synthetic graphs constitute a research area that is increasing in popularity, especially as the use of graph data is becoming increasingly common. Generating realistic synthetic graphs enables sharing of the information embedded in graphs without directly sharing the original graphs themselves. READ MORE

  3. 7. Transformation of Directed Acyclic Graphs into Kubernetes Deployments with Optimized Latency

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Robert Almgren; Robin Lidekrans; [2022]
    Keywords : Kubernetes; Container Scheduling; Integer Linear Programming; Baseband Unit; Directed Acyclic Graph;

    Abstract : In telecommunications, there is currently a lot of work being done to migrate to the cloud, and a lot of specialized hardware is being exchanged for virtualized solutions. One important part of telecommunication networks that is yet to be moved to the cloud is known as the base-band unit, which sits between the antennas and the core network. READ MORE

  4. 8. From Relations to Simplicial Complexes: A Toolkit for the Topological Analysis of Networks

    University essay from KTH/Matematik (Avd.)

    Author : Johan Lord; [2021]
    Keywords : applied algebraic topology; complex networks; topological data analysis; brain network analysis;

    Abstract : We present a rigorous yet accessible introduction to structures on finite sets foundational for a formal study of complex networks. This includes a thorough treatment of binary relations, distance spaces, their properties and similarities. READ MORE

  5. 9. Real-time Anomaly Detection on Financial Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anna Martignano; [2020]
    Keywords : Network Representation Learning; Anomaly Detection; Financial Industry; Graph Neural Networks; Dynamic Graphs; Heterogeneous Graphs; Nätverkiskt Representationsinlärning; Avvikelse av Anomali; Finansiell Industri; Grafiskt Neuralt Nätverk; Dynamiska Grafer; Heterogena Grafer;

    Abstract : This work presents an investigation of tailoring Network Representation Learning (NRL) for an application in the Financial Industry. NRL approaches are data-driven models that learn how to encode graph structures into low-dimensional vector spaces, which can be further exploited by downstream Machine Learning applications. READ MORE

  6. 10. Optimizing Bike Sharing System Flows using Graph Mining, Convolutional and Recurrent Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Davor Ljubenkov; [2019]
    Keywords : Data Science; Data Visualization; Bike-Sharing Systems; Graph Mining; Time Series Prediction; Machine Learning; Deep Learning; Recurrent Neural networks; Convolutional Neural Networks; Shareable Cities; Urban Informatics;

    Abstract : A Bicycle-sharing system (BSS) is a popular service scheme deployed in cities of different sizes around the world. Although docked bike systems are its most popular model used, it still experiences a number of weaknesses that could be optimized by investigating bike sharing network properties and evolution of obtained patterns. READ MORE