DuET: Dual-View Tensor-to-Topology Spectral Adapter for Enhancing Sparse Tensor Factorization
Many real-world datasets, ranging from web-interaction logs to biomedical networks, can be represented as sparse tensors where most entries are unobserved. Tensor factorization (TF) learns latent representations and a predictor to estimate unobserved entries and has been widely applied to higher-order recommendation, b...