Essays about: "graph similarity"

Showing result 1 - 5 of 21 essays containing the words graph similarity.

1. 1. Identifying Graph Characteristics in Growing Vascular Networks

   University essay from Uppsala universitet/Tillämpad beräkningsvetenskap

   Author : Christopher Finn Plummer; [2024]
   Keywords : Anigogenesis; Vascular Networks; Network Science;

   Abstract : One of the ways that a vascular network grows is through the process of angiogenesis, wherebya new blood vessel forms as a branch from an existing vessel towards an area which isstimulating vascular growth. Due to the demands for nutrients and waste transport, growingtumour cells will access the surrounding vascular network by inducing angiogenesis. READ MORE

3. 2. Bullying Detection through Graph Machine Learning : Applying Neo4j’s Unsupervised Graph Learning Techniques to the Friends Dataset

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Olof Enström; Christoffer Eid; [2023]
   Keywords : Bullying; Graph Machine Learning; Community Detection; Neo4j; Data Preprocessing; Similarity Algorithms; Friends; Neo4j; Unsupervised Learning; Anti-bullying;

   Abstract : In recent years, the pervasive issue of bullying, particularly in academic institutions, has witnessed a surge in attention. This report centers around the utilization of the Friends Dataset and Graph Machine Learning to detect possible instances of bullying in an educational setting. READ MORE

4. 3. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

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

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. READ MORE

5. 4. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Mahtab Davari; [2023]
   Keywords : Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

   Abstract : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. READ MORE

6. 5. Digital Twin Knowledge Graphs for IoT Platforms : Towards a Virtual Model for Real-Time Knowledge Representation in IoT Platforms

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

   Author : Alejandro Jarabo Peñas; [2023]
   Keywords : Internet of Things; Digital Twin; Knowledge Graph; Similarity Metric; Semantic Data Integration; Internet of Things; Digital Twin; Kunskapsgraf; Likhetmetrik; Integrering av Semantiska Data; Internet of Things; Gemelo Digital; Grafo de Conocimiento; Métrica de Similitud; Integración de Datos Semánticos.;

   Abstract : This thesis presents the design and prototype implementation of a digital twin based on a knowledge graph for Internet of Things (IoT) platforms. The digital twin is a virtual representation of a physical object or system that must continually integrate and update knowledge in rapidly changing environments. READ MORE