| 大会名称 |
| 2020年 総合大会 |
| 大会コ－ド |
| 2020G |
| 開催年 |
|
2020
|
| 発行日 |
|
2020-03-03
|
| セッション番号 |
|
BS-1
|
| セッション名 |
|
In-Network Intelligence for Design, Management, and Control of Future Networks and Services
|
| 講演日 |
|
2020/3/20
|
| 講演場所(会議室等) |
|
工学部 講義棟１F 104講義室
|
| 講演番号 |
|
BS-1-19
|
| タイトル |
|
A Study on Inferring Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning
|
| 著者名 |
|
◎Taisei Suzuki, Yuichi Yasuda, Ryo Nakamura, Hiroyuki Ohsaki,
|
| キーワード |
|
Graph Convolutional Network, Communication Delay Estimation, Neural Network, Semi-Supervised Learning
|
| 抄録 |
|
In this paper, as an initial step toward the realization of estimating communication quality (especially communication delays between node pairs) in a large-scale network, we investigate the potential of graph neural networks with semi-supervised learning for estimating communication delays between node pairs.
|
| 本文pdf |
|
PDF download
|
