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What is Novel Graph Distance for Brain Networks about?
This paper introduces a novel spectral graph distance measure aimed at comparing complex networks, particularly in biomedical signal processing applications like brain state transitions and seizure detection. The proposed method emphasizes the importance of the edge weight matrix and the selection of eigenvectors, demonstrating that the new graph distance outperforms existing measures by being permutation invariant and capturing essential network dynamics. Experimental results validate the efficacy of the p
- Author
- aryapandey302005
- Language
- EN