E-LIB Suche - Ergebnisse für: Maekawa, Seiji

1

GNN Transformation Framework for Improving Efficiency and S..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Maekawa, Seiji ; Sasaki, Yuya ; Fletcher, George. - p. 360-376 , 2023

Link: https://doi.org/10.1007/..

2

Benchmarking GNNs with GenCAT Workbench:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Maekawa, Seiji ; Sasaki, Yuya ; Fletcher, George. - p. 607-611 , 2023

Link: https://doi.org/10.1007/..

3

GenCAT: Generating attributed graphs with controlled relati..:

Maekawa, Seiji ; Sasaki, Yuya ; Fletcher, George.
Information Systems. 115 (2023) - p. 102195 , 2023

Link: https://doi.org/10.1016/..

4

Effective Candidate Selection and Interpretable Interest Ex..:

, In: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology,

Maekawa, Seiji ; Saeyor, Santi ; Sakaki, Takeshi. - p. 120-127 , 2021

Link: https://dl.acm.org/doi/1..

5

Adaptive Node Embedding Propagation for Semi-supervised Cla..:

, In: Machine Learning and Knowledge Discovery in Databases. Research Track; Lecture Notes in Computer Science,

Ogawa, Yuya ; Maekawa, Seiji ; Sasaki, Yuya.. - p. 417-433 , 2021

Link: https://doi.org/10.1007/..

6

New Attributed Graph Clustering by Bridging Attribute and T..:

Maekawa, Seiji ; Takeuchi, Koh ; Onizuka, Makoto
Journal of Information Processing. 28 (2020) 0 - p. 427-435 , 2020

Link: https://doi.org/10.2197/..

7

Controlling internal structure of communities on graph gene..:

, In: Proceedings of the 12th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining,

Yamaguchi, Hiroto ; Ogawa, Yuya ; Maekawa, Seiji.. - p. 937-940 , 2020

Link: https://dl.acm.org/doi/1..

8

A Simple and Scalable Graph Neural Network for Large Direct..:

Maekawa, Seiji ; Sasaki, Yuya ; Onizuka, Makoto
http://arxiv.org/abs/2306.08274. , 2023

Link: http://arxiv.org/abs/230..

9

Beyond Real-world Benchmark Datasets: An Empirical Study of..:

Maekawa, Seiji ; Noda, Koki ; Sasaki, Yuya.
http://arxiv.org/abs/2206.09144. , 2022

Link: http://arxiv.org/abs/220..

10

GNN Transformation Framework for Improving Efficiency and S..:

Maekawa, Seiji ; Sasaki, Yuya ; Fletcher, George.
http://arxiv.org/abs/2207.12000. , 2022

Link: http://arxiv.org/abs/220..

11

GenCAT: Generating Attributed Graphs with Controlled Relati..:

Maekawa, Seiji ; Sasaki, Yuya ; Fletcher, George.
http://arxiv.org/abs/2109.04639. , 2021

Link: http://arxiv.org/abs/210..

12

Non-linear Attributed Graph Clustering by Symmetric NMF wit..:

Maekawa, Seiji ; Takeuch, Koh ; Onizuka, Makoto
http://arxiv.org/abs/1810.00946. , 2018

Link: http://arxiv.org/abs/181..

13

FGF9, a Potent Mitogen, Is a New Ligand for Integrin αvβ3, ..:

Chang, Chih-Chieh ; Takada, Yoko K. ; Cheng, Chao-Wen...
Cells. 13 (2024) 4 - p. 307 , 2024

Link: https://doi.org/10.3390/..

14

Serum soluble triggering receptor expressed on myeloid cell..:

Tateishi, Hiroshi ; Matsushima, Jun ; Kunitake, Hiroko...
Neuropsychopharmacology Reports. 43 (2023) 2 - p. 222-227 , 2023

Link: https://doi.org/10.1002/..

15

Effects of Argon Gas Plasma Treatment on Biocompatibility o..:

Hayashi, Rina ; Takao, Seiji ; Komasa, Satoshi...
International Journal of Molecular Sciences. 25 (2023) 1 - p. 149 , 2023

Link: https://doi.org/10.3390/..