92 citations · 178 across the 10 of their papers we have counts for
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Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
Variational inference (VI) can be cast as an optimization problem in which the variational parameters are tuned to closely align a variational distribution with the true posterior.…
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Duc Anh Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Predicting drug-drug interactions (DDI) is the problem of predicting side effects (unwanted outcomes) of a pair of drugs using drug information and known side effects of many pairs…
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Graph is an usual representation of relational data, which are ubiquitous in manydomains such as molecules, biological and social networks. A popular approach to learningwith graph…
Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Jonathan Strahl, Jaakko Peltonen, Hiroshi Mamitsuka +1
In matrix factorization, available graph side-information may not be well suited for the matrix completion problem, having edges that disagree with the latent-feature relations lea…