Essays about: "Task Graphs"
Showing result 1 - 5 of 45 essays containing the words Task Graphs.
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1. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE
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2. Link Prediction Using Learnable Topology Augmentation
University essay from KTH/Matematik (Avd.)Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE
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3. Graph Attention Networks for Link Prediction in Semantic Word Grouping
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Manually extracting relevant information from extensive amounts of data can betime-consuming and labour-intensive. Automating this process can allow for a shift of focus toward analysis and utilization of the extracted information, rather than allocating time and resources to data collection and preparation. READ MORE
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4. Computer-vision as an ErrorRecognition Tool for IndustryProduction Lines : A comparative study of models and neural networks
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : To use machine learning as a tool to help humans perform tasks is a common occurrence these days. Machine learning integration in the wood processing industry however, is more rare. Therefore it is suitable to research if machine learning works for some problem in this area. READ MORE
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5. Highly Available Task Scheduling in Distinctly Branched Directed Acyclic Graphs
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Big data processing frameworks utilizing distributed frameworks to parallelize the computing of datasets have become a staple part of the data engineering and data science pipelines. One of the more known frameworks is Dask, a widely utilized distributed framework used for parallelizing data processing jobs. READ MORE