  The current National Airspace System (NAS) is reaching capacity due to
increased air traffic, and is based on outdated pre-tactical planning. This
study proposes a more dynamic airspace configuration (DAC) approach that could
increase throughput and accommodate fluctuating traffic, ideal for emergencies.
The proposed approach constructs the airspace as a constraints-embedded graph,
compresses its dimensions, and applies a spectral clustering-enabled adaptive
algorithm to generate collaborative airport groups and evenly distribute
workloads among them. Under various traffic conditions, our experiments
demonstrate a 50\% reduction in workload imbalances. This research could
ultimately form the basis for a recommendation system for optimized airspace
configuration. Code available at https://github.com/KeFenge2022/GraphDAC.git
