DyANE: Dynamics-aware node embedding for temporal networks

12 Sep 2019Koya SatoMizuki OkaAlain BarratCiro Cattuto

Low-dimensional vector representations of network nodes have proven successful to feed graph data to machine learning algorithms and to improve performance across diverse tasks. Most of the embedding techniques, however, have been developed with the goal of achieving dense, low-dimensional encoding of network structure and patterns... (read more)

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