Essays about: "inbäddning av noder"

Found 4 essays containing the words inbäddning av noder.

1. 1. An unsupervised method for Graph Representation Learning

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

   Author : Yi Ren; [2022]
   Keywords : Graph Representation Learning; unsupervised learning; machine learning;

   Abstract : 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. READ MORE

3. 2. Using machine learning to visualize and analyze attack graphs

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

   Author : Antoine Cottineau; [2021]
   Keywords : Attack graph; Graph visualization; Graph clustering; Network security; Node embedding; Attackgraf; grafvisualisering; grafklustering; nätverkssäkerhet; inbäddning av noder;

   Abstract : In recent years, the security of many corporate networks have been compromised by hackers who managed to obtain important information by leveraging the vulnerabilities of those networks. Such attacks can have a strong economic impact and affect the image of the entity whose network has been attacked. READ MORE

4. 3. Traffic Prediction From Temporal Graphs Using Representation Learning

   University essay from KTH/Matematisk statistik

   Author : Andreas Movin; [2021]
   Keywords : Dynamic time warping DTW ; embedding; graph convolutional networks GCN ; graph neural networks GNN ; persistent homology; spectral graph theory; temporal graphs; topological data analysis TDA ; Dynamisk time warping DTW ; inbäddning; convolutional grafnätverk GCN ; neurala grafnätverk GNN ; persistent homologi; spektral graf teori; dynamisk graf; topologisk dataanalys TDA ;

   Abstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE

5. 4. Flight search engine CPU consumption prediction

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

   Author : Zhaopeng Tao; [2021]
   Keywords : Flight Search Engine; Deep Neural Networks; Tabular Data; Regression; Machine Learning; Flight Schedule Embedding; Node Embedding; Graph Embedding; Line Graph Embedding; Sökmotor för flygresor; Djupa neurala nätverk; Tabulära data; Regression; Maskininlärning; Inbäddning av flygschema; Inbäddning av noder; Inbäddning av grafer; Inbäddning av linjediagram;

   Abstract : The flight search engine is a technology used in the air travel industry. It allows the traveler to search and book for the best flight options, such as the combination of flights while keeping the best services, options, and price. The computation for a flight search query can be very intensive given its parameters and complexity. READ MORE