A survey on the development status and application prospects of knowledge graph in smart grids
With the advent of the electric power big data era, semantic interoperability and
interconnection of power data have received extensive attention. Knowledge graph …
interconnection of power data have received extensive attention. Knowledge graph …
A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining
V Radhakrishna, SA Aljawarneh, PV Kumar… - Future generation …, 2018 - Elsevier
Abstract Data generated from Sensors, IoT environment and many real time applications is
mainly spatial, temporal, or spatio-temporal. Some of them include data generated from …
mainly spatial, temporal, or spatio-temporal. Some of them include data generated from …
Plasticity-on-chip design: Exploiting self-similarity for data communications
With the increasing demand for distributed big data analytics and data-intensive programs
which contribute to large volumes of packets among processing elements (PEs) and …
which contribute to large volumes of packets among processing elements (PEs) and …
Lr-Stream: Using latency and resource aware scheduling to improve latency and throughput for streaming applications
Low latency and high throughput are two of the most critical performance requirements for
big data stream computing systems. As multi-source high-speed data streams arrive in real …
big data stream computing systems. As multi-source high-speed data streams arrive in real …
Why blockchain needs graph: A survey on studies, scenarios, and solutions
The popularity of blockchain platforms and their applications in industry and academia
keeps rising. The multifarious requirements stimulate another technique, graph data and …
keeps rising. The multifarious requirements stimulate another technique, graph data and …
Enhancing downstream tasks in Knowledge Graphs Embeddings: A Complement Graph-based Approach Applied to Bilateral Trade
Forecasting international trade flows is crucial for understanding global economic activity
and serving as critical economic indicators used by economists and policymakers with …
and serving as critical economic indicators used by economists and policymakers with …
A comparison of parallel graph processing implementations
SD Pollard, B Norris - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
The rapidly growing number of large network analysis problems has led to the emergence of
many parallel and distributed graph processing systems-one survey in 2014 identified over …
many parallel and distributed graph processing systems-one survey in 2014 identified over …
High performance GPU primitives for graph-tensor learning operations
Graph-tensor learning operations extend tensor operations by taking the graph structure into
account, which have been applied to diverse domains such as image processing and …
account, which have been applied to diverse domains such as image processing and …
An efficient method based on RBFs for multilayer data interpolation with application in air pollution data analysis
M Esmaeilbeigi, O Chatrabgoun - Computational and Applied …, 2019 - Springer
Multivariate interpolation is a fundamental and long-studied problem, which has numerous
applications in mathematics, engineering, computer science, and the natural sciences. A …
applications in mathematics, engineering, computer science, and the natural sciences. A …
Cache behaviour analysis for graph algorithms
J Söderström - 2023 - diva-portal.org
Graph processing is an ever-increasing significant area of research in the wake of the
demand for efficient tools that process data such as graphs, which can describe sets of …
demand for efficient tools that process data such as graphs, which can describe sets of …