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20182026
most citedBeyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs

7 citations · 21 across the 20 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.LG2021

FedMe: Federated Learning via Model Exchange

Koji Matsuda, Yuya Sasaki, Chuan Xiao +1

Federated learning is a distributed machine learning method in which a single server and multiple clients collaboratively build machine learning models without sharing datasets on…

cs.SI2021

GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology

Seiji Maekawa, Yuya Sasaki, George Fletcher +1

Generating large synthetic attributed graphs with node labels is an important task to support various experimental studies for graph analysis methods. Existing graph generators fai…

cs.LG2021

AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities

Yuya Sasaki, Kei Harada, Shohei Yamasaki +1

Urban air pollution is a major environmental problem affecting human health and quality of life. Monitoring stations have been established to continuously obtain air quality inform…

cs.DS2021★ 2 cited

Cost-constrained Minimal Steiner Tree Enumeration by Binary Decision Diagram

Yuya Sasaki

The Steiner tree enumeration problem is a well known problem that asks for enumerating Steiner trees. Numerous theoretical works proposed algorithms for the problem and analyzed th…

cs.DB2021

Smart City Data Analysis via Visualization of Correlated Attribute Patterns

Yuya Sasaki, Keizo Hori, Daiki Nishihara +9

Urban conditions are monitored by a wide variety of sensors that measure several attributes, such as temperature and traffic volume. The correlations of sensors help to analyze and…