Awesome Graph Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Ryoma Sato — most-cited papers & profile · Graph Learning
← authors
·
overview
Ryoma Sato
9
papers ·
111
citations ·
10
h-index
National Institute of Informatics
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Survey on The Expressive Power of Graph Neural Networks
2020 · 84 citations
Random Features Strengthen Graph Neural Networks
2020 · 10 citations
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
2023 · 1 citations
Training-free Graph Neural Networks and the Power of Labels as Features
2024
Top co-authors
Hisashi Kashima
· 1
Makoto Yamada
· 1
Topics
GNN Architectures
Theory & Expressivity