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Graph-based models and transforms for signal/data processing with applications to video coding
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Human activity analysis with graph signal processing techniques
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Dynamic graph analytics for cyber systems security applications
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A synthesis approach to manage complexity in software systems design
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Exploiting variable task granularities for scalable and efficient parallel graph analytics
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Sampling theory for graph signals with applications to semi-supervised learning
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Network structures: graph theory, statistics, and neuroscience applications
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Learning the geometric structure of high dimensional data using the Tensor Voting Graph
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Compression of signal on graphs with the application to image and video coding
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Efficient graph processing with graph semantics aware intelligent storage
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Estimation of graph Laplacian and covariance matrices
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Efficient transforms for graph signals with applications to video coding
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Discovery of complex pathways from observational data
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Complex pattern search in sequential data
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Essays on bioinformatics and social network analysis: statistical and computational methods for complex systems
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Realistic modeling of wireless communication graphs for the design of efficient sensor network routing protocols
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High throughput computational framework for synthesis and accelerated discovery of dielectric polymer materials using polarizable reactive molecular dynamics and graph neural networks
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Spatiotemporal prediction with deep learning on graphs
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The extraction and complexity limits of graphical models for linear codes
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A complex event processing framework for fast data management
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Computational analysis of drug complexes with beta-cyclodextrin
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Applications of graph theory to brain connectivity analysis
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Learning and control for wireless networks via graph signal processing
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Exploiting structure in the Boolean weighted constraint satisfaction problem: a constraint composite graph-based approach
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Efficient connectivity assessment of heterogeneous porous media using graph theory
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