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Extracting features from graphs is completely different than from normal data. Each node is interconnected with each other and this is important information that we can’t just ignore. Fortunately, many feature extraction methods have been created for graphs. These techniques can be divided into node level, graph level, and neighbourhood overlap features. In this article, we will look at the most common graph feature extraction methods and their properties.

#graph-neural-networks #deep-learning #feature-extraction #machine-learning