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Found 3 papers, 2 papers with code
What does Network Analysis teach us about International Environmental Cooperation?
Over the past 70 years, the number of international environmental agreements (IEAs) has increased substantially, highlighting their prominent role in environmental governance.
Geometric graphs from data to aid classification tasks with graph convolutional networks
Traditional classification tasks learn to assign samples to given classes based solely on sample features.
Quantifying the Alignment of Graph and Features in Deep Learning
We showcase the relationship between the SAM and the classification performance through the study of limiting cases of GCNs and systematic randomizations of both features and graph structure applied to a constructive example and several examples of citation networks of different origins.
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