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Supplementary Information from Exploiting node metadata to predict interactions in bipartite networks using graph embedding and neural networks
2022
figshare.com
Networks are increasingly used in various fields to represent systems with the aim of understanding the underlying rules governing observed interactions, and hence predict how the system is likely to behave in the future. Recent developments in network science highlight that accounting for node metadata improves both our understanding of how nodes interact with one another, and the accuracy of link prediction. However, to predict interactions in a network within existing statistical and machine
doi:10.6084/m9.figshare.20559186.v1
fatcat:54d3bgv4lzb2bkl2rpbdete2iu