Picture for Hiroshi Mamitsuka

Hiroshi Mamitsuka

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference

Add code
Oct 25, 2023
Viaarxiv icon

CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions

Add code
Dec 15, 2021
Figure 1 for CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Figure 2 for CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Figure 3 for CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Figure 4 for CentSmoothie: Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Viaarxiv icon

Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels

Add code
Jun 08, 2021
Figure 1 for Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Figure 2 for Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Figure 3 for Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Figure 4 for Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels
Viaarxiv icon

On Convex Clustering Solutions

Add code
May 18, 2021
Figure 1 for On Convex Clustering Solutions
Figure 2 for On Convex Clustering Solutions
Figure 3 for On Convex Clustering Solutions
Figure 4 for On Convex Clustering Solutions
Viaarxiv icon

DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction

Add code
Mar 31, 2021
Figure 1 for DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Figure 2 for DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Figure 3 for DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Figure 4 for DIVERSE: bayesian Data IntegratiVE learning for precise drug ResponSE prediction
Viaarxiv icon

Scalable Probabilistic Matrix Factorization with Graph-Based Priors

Add code
Sep 11, 2019
Figure 1 for Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Figure 2 for Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Figure 3 for Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Figure 4 for Scalable Probabilistic Matrix Factorization with Graph-Based Priors
Viaarxiv icon

AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks

Add code
Nov 01, 2018
Figure 1 for AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks
Figure 2 for AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks
Figure 3 for AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks
Figure 4 for AttentionXML: Extreme Multi-Label Text Classification with Multi-Label Attention Based Recurrent Neural Networks
Viaarxiv icon

Convex Coupled Matrix and Tensor Completion

Add code
Jun 14, 2018
Viaarxiv icon

Learning on Hypergraphs with Sparsity

Add code
Apr 03, 2018
Figure 1 for Learning on Hypergraphs with Sparsity
Figure 2 for Learning on Hypergraphs with Sparsity
Figure 3 for Learning on Hypergraphs with Sparsity
Figure 4 for Learning on Hypergraphs with Sparsity
Viaarxiv icon

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data

Add code
Aug 14, 2016
Figure 1 for Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Figure 2 for Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Figure 3 for Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Figure 4 for Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data
Viaarxiv icon