Essays about: "graph neural networks"
Showing result 6 - 10 of 82 essays containing the words graph neural networks.
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6. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. READ MORE
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7. Intersecting Graph Representation Learning and Cell Profiling : A Novel Approach to Analyzing Complex Biomedical Data
University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskapAbstract : In recent biomedical research, graph representation learning and cell profiling techniques have emerged as transformative tools for analyzing high-dimensional biological data. The integration of these methods, as investigated in this study, has facilitated an enhanced understanding of complex biological systems, consequently improving drug discovery. READ MORE
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8. Graph Neural Networks for Events Detection in Football
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. READ MORE
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9. Analysis of Flow Prolongation Using Graph Neural Network in FIFO Multiplexing System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Network Calculus views a network system as a queuing framework and provides a series of mathematical functions for finding an upper bound of an end-to-end delay. It is crucial for the design of networks and applications with a hard delay guarantee, such as the emerging Time Sensitive Network. READ MORE
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10. Inferring Gene regulatory networks using Graph Neural Networks
University essay from KTH/GenteknologiAbstract : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. READ MORE