document: Adaptive page ranking with neural networks Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures . Neural networks are well-known for their generalization capabilities . This paper explores the idea of applying a novel neural network model to a web graph to compute an adaptive ranking of pages . Some early experimental results indicate that the new neural network models generalize exceptionally well when trained on a relatively small number of pages .
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