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Graph embedding algorithms for attributed and temporal graphs
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Minor embedding for experimental investigation of a quantum annealer
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Dynamic graph analytics for cyber systems security applications
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Word, sentence and knowledge graph embedding techniques: theory and performance evaluation
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Exploiting variable task granularities for scalable and efficient parallel graph analytics
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Learning the geometric structure of high dimensional data using the Tensor Voting Graph
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Efficient graph processing with graph semantics aware intelligent storage
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Physics-aware graph networks for spatiotemporal physical systems
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Compression of signal on graphs with the application to image and video coding
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Effective graph representation and vertex classification with machine learning techniques
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A methodology for the hardware/software co-design of embedded systems
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Realistic modeling of wireless communication graphs for the design of efficient sensor network routing protocols
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Spatiotemporal prediction with deep learning on graphs
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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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Embedding and reconfiguration of task graphs in faulty hypercubes
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Learning distributed representations from network data and human navigation
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Inferring mobility behaviors from trajectory datasets
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Building phrase structure from items and contexts
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Morse theory applied to surface topology sensing
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Trace-formula methods in the spectral geometry of graphs
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Interaction and topology in distributed multi-agent coordination
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Hierarchical design space exploration for efficient application design using heterogeneous embedded system
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Civic games with 'local fit': embedding with real‐world neighborhoods and place‐based networks
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2D object recognition by adaptive feature extraction and dynamical link graph matching
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Building social Legoland through collaborative crowdsourcing: marginality, functional diversity, and team success
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