CAREER: Demystifying and Mitigating Unfairness in Learning over Graphs — NSF Award to University of California-Irvine (CA, $550,00
The science of networks has emerged as a major catalyst for understanding the behavior of complex interconnected entities, which can be described using graphs. For example, cyber-physical systems including the Internet of Things involve interactions among devices, and social networks can be modeled as graphs capturing
| Award title | CAREER: Demystifying and Mitigating Unfairness in Learning over Graphs |
|---|---|
| Award ID | 2442964 |
| Awardee | University of California-Irvine |
| City | IRVINE |
| State | CA |
| Amount obligated | $550,000 |
| Principal investigator | Yanning Shen |
| Program | CSCS: Circuits and Systems for |
| Start date | 10/01/2025 |
| Abstract | The science of networks has emerged as a major catalyst for understanding the behavior of complex interconnected entities, which can be described using graphs. For example, cyber-physical systems including the Internet of Things involve interactions among devices, and social networks can be modeled as graphs capturing various relationships among people or groups. Other complex networks emerge in diverse engineering fields, such as power grids and transportation systems. Graph-based machine learn |
| Source | NSF Awards |
$799/mo
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