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Found 2 papers, 1 papers with code
DyRep: Learning Representations over Dynamic Graphs
We present DyRep - a novel modeling framework for dynamic graphs that posits representation learning as a latent mediation process bridging two observed processes namely -- dynamics of the network (realized as topological evolution) and dynamics on the network (realized as activities between nodes).
Representation Learning over Dynamic Graphs
How can we effectively encode evolving information over dynamic graphs into low-dimensional representations?
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