Adaptive Diffusions for Scalable Learning over Graphs.

IEEE Transactions on Signal Processing(2019)

引用 33|浏览25
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摘要
Diffusion-based classifiers such as those relying on the Personalized PageRank and the heat kernel enjoy remarkable classification accuracy at modest computational requirements. Their performance however is affected by the extent to which the chosen diffusion captures a typically unknown label propagation mechanism, which can be specific to the underlying graph, and potentially different for each ...
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关键词
Heating systems,Kernel,Signal processing algorithms,Measurement,Network topology,Scalability,Adaptation models
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