Semi-Supervised Learning of Processes Over Multi-Relational Graphs

ICASSP 2020
Pages: 5560 - 5564
Published: May 4, 2020
Abstract
Semi-supervised learning (SSL) of dynamic processes over graphs is encountered in several applications of network science. Most of the existing approaches are unable to handle graphs with multiple relations, which arise in various real-world networks. This work deals with SSL of dynamic processes over multi-relational graphs (MRGs). Towards this end, a structured dynamical model is introduced to capture the spatio-temporal nature of dynamic...
Paper Details
Title
Semi-Supervised Learning of Processes Over Multi-Relational Graphs
DOI
Published Date
May 4, 2020
Journal
Pages
5560 - 5564
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