137 citations · 140 across the 6 of their papers we have counts for
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cs.DC2019
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima +1
Graph Convolutional Networks (GCNs) are recently getting much attention in bioinformatics and chemoinformatics as a state-of-the-art machine learning approach with high accuracy. G…
cs.LG2019
A tensorized logic programming language for large-scale data
Ryosuke Kojima, Taisuke Sato
We introduce a new logic programming language T-PRISM based on tensor embeddings. Our embedding scheme is a modification of the distribution semantics in PRISM, one of the state-of…