8 citations · 12 across the 4 of their papers we have counts for
4 papers
Dual Convolutional Neural Network for Graph of Graphs Link Prediction
Shonosuke Harada, Hirotaka Akita, Masashi Tsubaki +4
Graphs are general and powerful data representations which can model complex real-world phenomena, ranging from chemical compounds to social networks; however, effective feature ex…
Space-efficient Feature Maps for String Alignment Kernels
Yasuo Tabei, Yoshihiro Yamanishi, Rasmus Pagh
String kernels are attractive data analysis tools for analyzing string data. Among them, alignment kernels are known for their high prediction accuracies in string classifications…
Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices
Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi +1
With massive high-dimensional data now commonplace in research and industry, there is a strong and growing demand for more scalable computational techniques for data analysis and k…
Kernel matrix regression
Yoshihiro Yamanishi, Jean-Philippe Vert
We address the problem of filling missing entries in a kernel Gram matrix, given a related full Gram matrix. We attack this problem from the viewpoint of regression, assuming that…