7 citations · 24 across the 23 of their papers we have counts for
5 papers · 1 filter
Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search (Full version)
Yuya Sasaki
The number of graph neural network (GNN) architectures has increased rapidly due to the growing adoption of graph analysis. Although we use GNNs in wide application scenarios, it i…
Learned spatial data partitioning
Keizo Hori, Yuya Sasaki, Daichi Amagata +2
Due to the significant increase in the size of spatial data, it is essential to use distributed parallel processing systems to efficiently analyze spatial data. In this paper, we f…
A Simple and Scalable Graph Neural Network for Large Directed Graphs
Seiji Maekawa, Yuya Sasaki, Makoto Onizuka
Node classification is one of the hottest tasks in graph analysis. Though existing studies have explored various node representations in directed and undirected graphs, they have o…
Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators
Ryuichi Ito, Yuya Sasaki, Chuan Xiao +1
In recent years, machine learning-based cardinality estimation methods are replacing traditional methods. This change is expected to contribute to one of the most important applica…
NoSQL Schema Design for Time-Dependent Workloads
Yusuke Wakuta, Michael Mior, Teruyoshi Zenmyo +2
In this paper, we propose a schema optimization method for time-dependent workloads for NoSQL databases. In our proposed method, we migrate schema according to changing workloads,…