Essays about: "Knowledge Graph Embedding"

Showing result 1 - 5 of 11 essays containing the words Knowledge Graph Embedding.

  1. 1. 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

  3. 2. On the use of knowledge graph embeddings for business expansion

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

    Author : Niklas Rydberg; [2022]
    Keywords : Knowledge Graph Embeddings; Knowledge Graphs; Link Prediction; Machine Learning; Artificial Intelligence; Kunskapsgrafinbäddningar; Kunskapsgrafer; Länkförutsägelser; Maskininlärning; Artificiell Intelligens;

    Abstract : The area of Knowledge Graphs has grown significantly during recent time and has found many different applications both in industrial and academic settings. Despite this, many large Knowledge Graphs are in fact incomplete, which leads to the problem of finding the missing facts in the graphs using Link Prediction. READ MORE

  4. 3. 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

  5. 4. Node embedding algorithms in  product recommendation systems

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Klas Holmberg; [2022]
    Keywords : ;

    Abstract : Product recommendation systems are used for recommending products or product- groups to users or user-groups. With the rise of big data, these systems are in- creasingly being built on machine learning algorithms that use the collection of data to train and produce recommendations. READ MORE

  6. 5. A Comparative study of Knowledge Graph Embedding Models for use in Fake News Detection

    University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Author : Matilda Frimodig; Tom Lanhed Sivertsson; [2021]
    Keywords : Machine Learning; Fake News Detection; Knowledge Graph; Natural Language Processing; Knowledge Graph Embedding;

    Abstract : During the past few years online misinformation, generally referred to as fake news, has been identified as an increasingly dangerous threat. As the spread of misinformation online has increased, fake news detection has become an active line of research. One approach is to use knowledge graphs for the purpose of automated fake news detection. READ MORE