Accelerated Hypergraph Coarsening Procedure on GPU
An accelerated procedure for hypergraph coarsening on the GPU, presented by Lin Cheng, Hyunsu Cho, and Peter Yoon from Trinity College, Hartford, CT, USA. The research covers hypergraph coarsening, implementation challenges, runtime task planning, hypergraph nodes, hypergraph partitioning, image cla
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MatCalc Approach for Modelling Precipitate/Matrix Interfacial Energy
MatCalc app provides a detailed examination of the precipitate/matrix interfacial energy modeling by considering various contributions to Gibbs energy, classical nucleation theory, coarsening (Ostwald ripening), and estimation methods like the Becker concept. The interface energy is crucial for unde
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Almost Linear-Time Algorithms for Adaptive Betweenness Centrality
This study presents almost linear-time algorithms for adaptive betweenness centrality using hypergraph sketches, exploring the importance of centrality in network science. Coverage centrality and applications of centrality measures like betweenness and closeness are discussed.
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Optimizing IPOG's Vertical Growth with Hypergraph Coloring
Explore how constraints in Minimum Forbidden Tuple (MFT) format can enhance the efficiency of optimizing IPOGs' vertical growth process based on hypergraph coloring principles. Learn about the algorithm, challenges, and comparisons with vertex coloring techniques.
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Advanced Code Classification Using Heterogeneous Directed Hypergraph Neural Network
Explore the cutting-edge code classification techniques presented at the 35th International Conference on Software Engineering & Knowledge Engineering. In this research, a novel approach utilizing a Heterogeneous Directed Hypergraph Neural Network (HDHGN) over abstract syntax trees has been introduc
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Adaptive Betweenness Centrality Algorithms Using Hypergraph Sketches
Explore almost linear-time algorithms for adaptive betweenness centrality computation through hypergraph sketches. Discover the importance of centrality in network science and learn about coverage centrality, betweenness centrality, and their applications in community detection algorithms.
1 views • 25 slides