FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization

IEEE Transactions on Big Data(2022)

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摘要
Knowledge graphs have received intensive research interests. When the labels of most nodes or datapoints are missing, anchor graph and hierarchical anchor graph models can be employed. With an anchor graph or hierarchical anchor graph, we only need to optimize the labels of the coarsest anchors, and the labels of datapoints can be inferred from these anchors in a coarse-to-fine manner. The complex...
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关键词
Optimization,Computational modeling,Big Data,Sparse matrices,Computational efficiency,Approximation algorithms,Complexity theory
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