Essays about: "Graph Embedding"
Showing result 1 - 5 of 32 essays containing the words Graph Embedding.
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1. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : 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
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2. Sustainable Recipe Recommendation System: Evaluating the Performance of GPT Embeddings versus state-of-the-art systems
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: The demand for a sustainable lifestyle is increasing due to the need to tackle rapid climate change. One-third of carbon emissions come from the food industry; reducing emissions from this industry is crucial when fighting climate change. READ MORE
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3. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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. READ MORE
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4. Imitation Learning on Branching Strategies for Branch and Bound Problems
University essay from KTH/Matematisk statistikAbstract : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. READ MORE
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5. On the use of knowledge graph embeddings for business expansion
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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