GTED: Graph Traversal Edit Distance
RESEARCH IN COMPUTATIONAL MOLECULAR BIOLOGY, RECOMB 2018(2018)
摘要
Many problems in applied machine learning deal with graphs (also called networks), including social networks, security, web data mining, protein function prediction, and genome informatics. The kernel paradigm beautifully decouples the learning algorithm from the underlying geometric space, which renders graph kernels important for the aforementioned applications.
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关键词
Edit Distance,Eulerian Traversal,Graph Kernels,Assembly Graph,Generation Sequencing Reads
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