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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Graph Analytics and Optimization Methods for Insights from the Uber Movement Data
In this work we leverage the Uber movement dataset for the Los Angeles (LA) area where partial TAZ to TAZ (Traffic Analysis Zone) trip time data is available. We first create a TAZ-TAZ network based on nearest neighbors and propose a model that allows us to complete the $(O-D)$ (Origin-Destination) travel time matrix, using optimization methods such as non-negative least squares. We apply these algorithms for several communities in the TAZ-TAZ network and present insights in the form of completed $(O-D)$ matrices and associated temporal trends. We qualify the error performance and scalability of our flows. We conclude by pointing out the directions in our ongoing work to improve the quality and scale of travel time estimation.
Metall: A Persistent Memory Allocator Enabling Graph Processing
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Bi-Directional Causal Graph Learning through Weight-sharing and Low-rank Neural Network
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Efficient and Effective Graph Convolution Networks
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A Unique Graph Similarity Metric for Anomaly Detection.
Abstract not provided.
A Unique Graph Similarity Metric for Anomaly Detection.
Abstract not provided.
Decomposing Optimization Based Bounds Tightening Problems Via Graph Partitioning.
Abstract not provided.
Graph-Based Similarity Metrics for Comparing Simulations and Causal Loop Diagrams.
Abstract not provided.
Automatic Perturbation Analysis on General Computational Graphs
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Decomposing Optimization-Based Bounds Tightening Problems Via Graph Partitioning.
Abstract not provided.
Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients.
Abstract not provided.