GSAL2024 Participation Report

GSAL2024 (Graph Signal Analysis & Learning Mini-Workshop) was held at Nakanoshima Center, Osaka University from July 17 (Wed) to 19 (Fri), 2024.

We gave the following presentation.

〇Tsubasa NAITO1, Ryuto ITO1, Yuichi TANAKA2, Shogo MURAMATSU1 (1. Niigata Univ.,2. Osaka Univ.) : DICTIONARY LEARNING FOR DIRECTED GRAPH SIGNALS VIA AUGMENTED GFT

Through the presentation, we were able to have heated discussions with professors specializing in the field of graph signal processing and learned that our research is attracting attention from researchers at other universities.

It was a valuable and stimulating experience to attend various presentations on graph signal processing.

Paper Published in APSIPA Transactions on Signal and Information Processing

The following paper has been published in APSIPA Transactions on Signal and Information Processing (Q2: Information Systems).

It is a result of Grant-in-Aid for Scientific Research (A) “(JP22H00512) Locally Structured Unitary Networks and Tangent Space Learning for Dynamic Systems Modeling”.

It is Open Access. The source code is available at Code Ocean.

SCImago Journal & Country Rank