The Extension of Graph Convolutional Neural Network with Capsule Network for Graph Classification
Journal Title: International Journal of Advanced Engineering Research and Science - Year 2019, Vol 6, Issue 1
Abstract
In this paper we extend a graph convolutional neural network (GCNNs) which is the one of the existing state-of-art deep learning methods using the notion of capsule networks for graph classification. Through experiments, we show that by extending GCNNs using capsule networks can significantly overcome the challenges of GCNNs for the task of graph classification.
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- EP ID EP503908
- DOI 10.22161/ijaers.6.1.11
- Views 31
- Downloads 0
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