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EGAD: Evolving Graph Representation Learning with Self-Attention and Knowledge Distillation for Live Video Streaming Events [article]

Stefanos Antaris, Dimitrios Rafailidis, Sarunas Girdzijauskas
2020 arXiv   pre-print
In this study, we present a dynamic graph representation learning model on weighted graphs to accurately predict the network capacity of connections between viewers in a live video streaming event.  ...  in a live video streaming event.  ...  latent node/viewer representations, during a live video streaming event. • To the best of our knowledge we are the first to study knowledge distillation for dynamic graph representation learning.  ... 
arXiv:2011.05705v1 fatcat:kdx4qoupmjcjfi6owyrytxjs4e