RadioGAT: A Model-Based Learning Framework for Radio Map Reconstruction via Graph Attention Networks
Abstract: Reconstructing accurate radio maps is crucial for optimizing wireless network performance and managing spectrum efficiently. In real-world scenarios, radio map data, often sparse and ...
Abstract: Semantic communication (SemCom), a paradigm that emphasizes conveying the meaning of information, faces challenges in precise reasoning in semantic coding models. Knowledge graphs (KGs) ...
python==3.10.14 torch==2.3.1+cu121 --index-url https://download.pytorch.org/whl/cu121 ogb==1.3.6 torch-geometric==2.5.3 torch-scatter==2.1.2+pt23cu121 --index-url ...
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