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Concept-free Causal Disentanglement with Variational Graph Auto-Encoder
Existing approaches often rely on Variational Auto-Encoder (VAE) or its causal structure learning-based refinement, which suffer from sub-optimality in VAEs due to the independence factor assumption and unavailability of concept labels, respectively.
Spatiotemporal Regularized Tucker Decomposition Approach for Traffic Data Imputation
Then, based on Tucker decomposition, the tensor is approximated by multiplying non-negative factor matrices with a sparse core tensor.
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