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Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale

Description: Data management plan for the grant, "Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale." This project aims to improve the computation efficiency of graph neural networks (GNNs), which are an emerging class of deep learning models on graphs, with many successful applications, such as, recommendation systems, drug discovery, social network analysis, and code vulnerability detection. This project aims to to design an efficient GNN framework via algorithm and system co-de… more
Date: 2024-01-01/2026-12-31
Creator: Ji, Yuede
Partner: UNT College of Engineering
open access

Collaborative Research: CIF: Medium: Fundamental Limits of Cache-aided Multi-user Private Function Retrieval

Description: Data management plan for the grant, "Collaborative Research: CIF: Medium: Fundamental Limits of Cache-aided Multi-user Private Function Retrieval." This project is motivated by the need to efficiently execute complex queries on massive databases in a way that minimizes the use of communication resources while preserving the privacy of the entity that initiated the query. Such queries are functions of the data points that are stored at remote servers. This project develops a principled and holis… more
Date: 2023-10-01/2027-09-30
Creator: Sun, Hua
Partner: UNT College of Engineering
open access

Mechanochemical Reconstruction Principles for Two-Dimensional Material Adaptation to Applied Stresses

Description: Data management plan for the grant, "Mechanochemical Reconstruction Principles for Two-Dimensional Material Adaptation to Applied Stresses." This grant focuses on understanding how 2D materials change their structure and function under loading and shear stresses. For this, we will investigate the fundamental origins of solid-state interactions, unraveling the processes occurring at contacting surfaces during sliding, why some materials show better stability than others, and how one can use thes… more
Date: 2023-10-01/2026-09-30
Creator: Berman, Diana
Partner: UNT College of Engineering
open access

Approximation Theory and Complex Dynamics

Description: Data management plan for the grant, "Approximation Theory and Complex Dynamics." This project involves the study of approximation theory in the setting of complex functions, with applications to complex dynamics. Approximation theory seeks to understand the extent to which the behavior of a general function can be effectively modeled by that of functions drawn from a more restricted class. Efficient approximation of functions is of relevance for numerical calculation. Since the only calculation… more
Date: 2023-09-01/2026-08-31
Creator: Lazebnik, Kirill
Partner: UNT College of Science
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