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
Shenda Hong — most-cited papers & profile · Graph Learning
← authors
·
overview
Shenda Hong
6
papers ·
237
citations ·
29
h-index
Peking University · Beijing Academy of Artificial Intelligence · University of Chinese Academy of Sciences
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Diffusion Models: A Comprehensive Survey of Methods and Applications
2022 · 151 citations
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
2020 · 76 citations
Improving Diffusion-Based Image Synthesis with Context Prediction
2024 · 8 citations
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization
2021
Topics
Diffusion Models
Training & Sampling
Domain — Energy/Weather
Domain — Finance
Domain — Healthcare
Federated Learning
Text-to-Image
Conditioning & Control