Collaborative Research: AF: Small: Graph Analysis: Integrating Metric and Topological Pers — NSF Award to Rutgers University New B
Graphs are one of the most common types of data across various application fields in science and engineering. Graph analysis has been central for multiple communities, including the classical graph theory community, network analysis, graph optimization, as well as the modern day graph learning communities. Traditionall
| Award title | Collaborative Research: AF: Small: Graph Analysis: Integrating Metric and Topological Pers |
|---|---|
| Award ID | 2523653 |
| Awardee | Rutgers University New Brunswick |
| City | NEW BRUNSWICK |
| State | NJ |
| Amount obligated | $222,191 |
| Principal investigator | Facundo Memoli |
| Program | Algorithmic Foundations |
| Start date | 01/01/2025 |
| Abstract | Graphs are one of the most common types of data across various application fields in science and engineering. Graph analysis has been central for multiple communities, including the classical graph theory community, network analysis, graph optimization, as well as the modern day graph learning communities. Traditionally, graphs are regarded as purely combinatorial objects. However, as applications of graphs proliferate, they tend to be regarded as much richer structures. For example, a graph mig |
| Source | NSF Awards |
$799/mo
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