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
J. Kyle Brubaker — most-cited papers & profile · Graph Learning
← authors
·
overview
J. Kyle Brubaker
6
papers ·
2
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
2021
Graph Coloring with Physics-Inspired Graph Neural Networks
2022
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set
2023
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems
2023
Top co-authors
Helmut G. Katzgraber
· 4
Martin J. A. Schuetz
· 4
Zhihuai Zhu
· 1
Topics
cs.LG
cond-mat.dis-nn
cs.AI
math.OC
quant-ph