CORDIS Project
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This project develops advanced methods for analyzing complex systems using higher-order relationships in data. By applying concepts from algebraic topology and discrete calculus, it aims to enhance graph signal processing techniques and create efficient algorithms for various applications, including social dynamics and…
Network analysis has revolutionized our understanding of complex systems, and graph-based methods have emerged as powerful tools to process signals on non-Euclidean domains via graph signal processing and graph neural networks.
The graph Laplacian and related matrices are pivotal to such analyses: i) the Laplacian serves as algebraic descriptor of the relationships between nodes; moreover, it is key for the analysis of network structure, for local operations such as averaging over connected node…
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
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