A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks | ScienceToStartup | ScienceToStartup

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References (13)

[1]

Machine learning-based spectrum occupancy prediction: a comprehensive survey

2025M. A. Aygül, H. A. Çırpan et al.

[2]

Product Demand Prediction with Spatial Graph Neural Networks

2024Jiale Li, Li Fan et al.

[3]

Systematic Literature Review of AI-enabled Spectrum Management in 6G and Future Networks

Founder's Pitch

"HR-GAT is a graph-based model for predicting spectrum demand using geospatial data."

Spectrum Management•Score: 3•View PDF ↗

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A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks

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References (13)

Founder's Pitch

"HR-GAT is a graph-based model for predicting spectrum demand using geospatial data."

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A Graph-Based Approach to Spectrum Demand Prediction Using Hierarchical Attention Networks

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References (13)

Founder's Pitch

"HR-GAT is a graph-based model for predicting spectrum demand using geospatial data."

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