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Found 3 papers, 2 papers with code
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
We show that the existing semi-implicit variational inference objective provably reduces information in the observed graph.
Graph Gamma Process Generalized Linear Dynamical Systems
We use the generated random graph, whose number of nonzero-degree nodes is finite, to define both the sparsity pattern and dimension of the latent state transition matrix of a (generalized) linear dynamical system.
Nonparametric Bayesian Sparse Graph Linear Dynamical Systems
A nonparametric Bayesian sparse graph linear dynamical system (SGLDS) is proposed to model sequentially observed multivariate data.
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