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
Guolin Ke — most-cited papers & profile · Graph Learning
← authors
·
overview
Guolin Ke
17
papers ·
85
citations ·
0
h-index
Beijing University of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
2025
Do Transformers Really Perform Bad for Graph Representation?
2021
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track
2021
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets
2022
An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets
2022
Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
2023
Top co-authors
Di He
· 4
Shengjie Luo
· 4
Shuxin Zheng
· 4
Chang Liu
· 2
Chengxuan Ying
· 2
Jiacheng You
· 2
Jiyan He
· 2
Lin Yao
· 2
Tianle Cai
· 2
Tie-Yan Liu
· 2
Yifei Shen
· 2
Yu Shi
· 2
Topics
cs.LG
physics.chem-ph
q-bio.BM
cs.AI
cs.CE
q-bio.QM