Graph convolutional networks (GCN)

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Generalization of neural networks to arbitrary graphs.

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relates to Graph isomorphism problem

The graph isomorphism problem is the computational problem of determining whether two finite graphs a...

is Graph neural network

A graph neural network (GNN) is a class of neural networks for processing data represented by graph d...

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compared in How Powerful are Graph Neural Networks?

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Despite GNNs revolutionizing graph representation learning, there is limited understanding of their r...

cons given in How powerful are Graph Convolutions? (review of Kipf & Welling, 2016)

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This post is about a paper that has just come out recently on practical generalizations of convolutio...

treated in Graph convolutional networks

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Many important real-world datasets come in the form of graphs or networks: social networks, knowledge...

treated in Geometric Deep Learning

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This website represents a collection of materials in the field of Geometric Deep Learning. We collect...

discussed in A Comprehensive Survey on Graph Neural Networks

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There is an increasing number of applications where data are generated from non-Euclidean domains and...