Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics
Graph neural networks (GNNs) frequently encounter group fairness issues, often yielding biased predictions against specific demographic groups defined by sensitive attributes such as gender or race. While this challenge has motivated extens
https://arxiv.org/abs/2607.14705v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
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Unknown
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
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Idea vs market → stable
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People
Y
Yuchang Zhu
1.0
low confidence
Z
Zezhong Xie
1.0
low confidence
H
Huizhe Zhang
1.0
low confidence
H
Huazhen Zhong
1.0
low confidence
J
Jintang Li
1.0
low confidence
L
Liang Chen
1.0
low confidence
Z
Zibin Zheng
2.0
low confidence
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