Neural Network for Graphs: A Contextual Constructive Approach
Abstract
This paper presents a new approach for learning in structured domains (SDs) using a constructive neural network for graphs (NN4G). The new model allows the extension of the input domain for supervised neural networks to a general class of graphs including both acyclic/cyclic, directed/undirected labeled graphs. In particular, the model can realize adaptive contextual transductions, learning the mapping from graphs for both classification and...
Paper Details
Title
Neural Network for Graphs: A Contextual Constructive Approach
Published Date
Mar 1, 2009
Volume
20
Issue
3
Pages
498 - 511
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