Immediate Impact
23 standout
Citing Papers
Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks
2024 Standout
A Comprehensive Survey on Deep Graph Representation Learning
2024 Standout
Works of Chee‐Kong Lee being referenced
An equivariant generative framework for molecular graph-structure Co-design
2023
ProtGNN: Towards Self-Explaining Graph Neural Networks
2022
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Chee‐Kong Lee | 204 | 91 | 57 | 13 | 301 | |
| Jiabao Chen | 160 | 92 | 21 | 14 | 253 | |
| Guillaume Verdon | 287 | 106 | 34 | 5 | 339 | |
| Gili Rosenberg | 274 | 51 | 27 | 8 | 352 | |
| Jonas Lederer | 142 | 16 | 115 | 8 | 289 | |
| Firas Hamze | 205 | 64 | 14 | 18 | 306 | |
| Naeimeh Mohseni | 213 | 67 | 9 | 10 | 264 | |
| Junhua Liu | 222 | 44 | 9 | 23 | 344 | |
| Guoming Wang | 236 | 148 | 11 | 21 | 331 | |
| Alain Delgado | 128 | 122 | 75 | 19 | 285 | |
| Takahiro Yamamoto | 215 | 138 | 49 | 15 | 339 |
All Works
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