07 - Comparison of Graph Based Community Detection Methods

August 31, 2021

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Description

Graphs are a natural way of representing many real-world systems, and detecting communities allows us to analyze complex networks like social networks. Recently community detection methods based on machine learning algorithms, in particular Graph Neural Networks, which allow neural networks to operate on arbitrary graphs have been gaining momentum. In this work, we’ve selected the task of community detection as an example of the applications of graph neural networks, with node features and graph structure being merged into a rich network representation

Link to the paper Graph