Self-Driven Graph Volterra Models for Higher-Order Link Prediction

Published: May 1, 2020
Abstract
Link prediction is one of the core problems in network and data science with widespread applications. While predicting pairwise nodal interactions (links) in network data has been investigated extensively, predicting higher-order interactions (higher-order links) is still not fully understood. Several approaches have been advocated to predict such higher-order interactions, but no principled method has been put forth to tackle this challenge so...
Paper Details
Title
Self-Driven Graph Volterra Models for Higher-Order Link Prediction
DOI
Published Date
May 1, 2020
Journal
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