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High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...
New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or ...
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Tech Xplore on MSNNew framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysisBingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
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