The core challenge of Document-level Relation Extraction (DocRE) lies in handling long-range dependencies across sentences. Although heterogeneous graph reasoning has demonstrated great potential in ...

Abstract: A partition algorithm is proposed for estimating angle-of-arrival (AoA) of a single light source using a controllable liquid crystal display (LCD) placed in front of a photodetector (PD). By ...

Abstract: The exponential growth of knowledge graphs (KGs) poses significant challenges for scalable graph neural network training, primarily due to the memory and computational bottlenecks of ...

A silent battle is being fought to continue making more bandwidth available to consumers, many of whom are now mobile. The ever-increasing demand for rich content and instant access to information is ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...

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