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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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Physics-aware graph networks for spatiotemporal physical systems
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Network structures: graph theory, statistics, and neuroscience applications
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Max-3-Cut performance of graph neural networks on random graphs
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The use of dynamic synapse neural networks for speech processing tasks
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Learning distributed representations from network data and human navigation
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Graph embedding algorithms for attributed and temporal graphs
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Theory of memory-enhanced neural systems and image-assisted neural machine translation
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Human activity analysis with graph signal processing techniques
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Spatiotemporal prediction with deep learning on graphs
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Effective graph representation and vertex classification with machine learning techniques
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Learning, adaptation and control to enhance wireless network performance
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A neural network simulator
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Mathematical aspects of neural networks
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Inferring mobility behaviors from trajectory datasets
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Optimal designs for high throughput stream processing using universal RAM-based permutation network
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Neural substrates associated with context-dependent learning
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Perceptual grouping and segmentation using neural networks
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Dual-mode dynamics neural networks for combinatorial optimization
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Performance optimization in cellular neural networks and associated VLSI architectures
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Deep learning techniques for supervised pedestrian detection and critically-supervised object detection
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Noise robust speech recognition using dynamic synapse neural networks
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Individual differences in heart rate response and expressive behavior during social emotions: effects of resting cardiac vagal tone and culture, and relation to the default mode network
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Toward microelectronics-based intelligent systems including neural network understanding
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Deep generative models for time series counterfactual inference
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