CAREER: Sublinear Graph Algorithms: New Insights for Foundational Problems — NSF Award to New York University (NY, $97,339)
Graphs are one of the most natural ways to represent relationships between data and are used to model a wide variety of settings: social networks, the communication infrastructure, the interconnections of financial markets, metabolic processes, and the wiring of the human brain, to name a few. Processing such graphs ha
| Award title | CAREER: Sublinear Graph Algorithms: New Insights for Foundational Problems |
|---|---|
| Award ID | 2514369 |
| Awardee | New York University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $97,339 |
| Principal investigator | Aaron Bernstein |
| Program | Algorithmic Foundations |
| Start date | 10/01/2024 |
| Abstract | Graphs are one of the most natural ways to represent relationships between data and are used to model a wide variety of settings: social networks, the communication infrastructure, the interconnections of financial markets, metabolic processes, and the wiring of the human brain, to name a few. Processing such graphs has long been a cornerstone of computer science research, but the rise of big data poses unique computational challenges, as the scale of the graphs in these applications has far out |
| Source | NSF Awards |
$799/mo
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