Anonymous walk embeddings: the growth of anonymous walks with length

May 03, 2020 at 04:30 PM, by Mehdi
node embedding graph embedding data science representation learning

Graph embedding is a field of representation learning aiming to transform a graph into a vector of features (numbers) that captures the structural aspect of the graph and/or its node features. One of these techniques is the Anonymous Walk Embedding designed by Sergey Ivanov and Evgeny Burnaev. In their paper, the authors... show more