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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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Fast Algorithms for Evolving graphs via Assays Sampling & Theory Phase II: Quarter 1 Report.
Abstract not provided.
Kolda, Tamara G.↗
Spatially compatible meshfree discretization through GMLS and graph theory.
Abstract not provided.
Trask, Nathaniel Albert↗
Graph Embeddings for the extraction of Compiler Provenance features.
Abstract not provided.
Straumann, Aleksandar↗
Graph Neural Network (GNN) for Property Prediction
Presented at the DOE-NETL 2020 Virtual Meeting - SMART Initiative Annual Review Meeting November 2-3, 2020, 11/2
Riedl, Michael↗
Kokkos Kernels: Performance Portable Kernels for Sparse/Dense Linear Algebra Graph and Machine Learning Kernels.
Abstract not provided.
Rajamanickam, Sivasankaran↗
Some Linear Algebra-based Graph Analytics using Chapel.
Abstract not provided.
Barrett, Richard Frederick↗
Graph Partitioning for Computational Mechanics Simulations with GDSW.
Abstract not provided.
Day, David M.↗
Identification of nominally nonporous H2physisorbents via graph theory-based descriptors of MOF flexibility.
Abstract not provided.
Witman, Matthew↗
Partitioning Communication Streams into Graph Snapshots.
Abstract not provided.
Field, Jr., Richard V.↗
SCIBORG: Secure Configurations for the IOT Based on Optimization and Reasoning on Graphs.
Abstract not provided.
Fritz, David Jakob↗
Differentially Private Generation of Social Networks via Exponential Random Graph Models.
Abstract not provided.
Liu, Fang↗
Physics-informed graph neural nets (pigNNS) A unification of NN architectures with mimetic PDE discretization.
Abstract not provided.
Trask, Nathaniel Albert↗
Modeling Temporal Graph Data:Breaking the Stationary Assumption.
Abstract not provided.
Wilson, Tegan Ellen↗
Physics-informed graph neural netsA unification of NN architectures with mimetic PDE discretization.
Abstract not provided.
Trask, Nathaniel Albert↗