Sökning: "Node embedding"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden Node embedding.
1. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : 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. LÄS MER
2. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. LÄS MER
3. Othering Heights : A critical urban approach to the narratives embedding the proposed Österskans development in Halmstad, Sweden
Master-uppsats, Malmö universitet/Institutionen för Urbana Studier (US)Sammanfattning : This thesis examines the proposed Österskans development in Halmstad, Sweden from the approach of critical urbanism. With a steady increase of population growth for the past decades and despite the income level of the municipality's population being above the national average - the socio-economic segregation in Halmstad is prevalent. LÄS MER
4. Generating Directed & Weighted Synthetic Graphs using Low-Rank Approximations
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : 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. LÄS MER
5. An unsupervised method for Graph Representation Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Internet services, such as online shopping and chat apps, have been spreading significantly in recent years, generating substantial amounts of data. These data are precious for machine learning and consist of connections between different entities, such as users and items. LÄS MER