Abstract: Graph-based methods pervade the inference toolkits of numerous disciplines including sociology, biology, neuroscience, physics, chemistry, and engineering. A challenging problem encountered ...

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Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

One header file library that implement missing transcendental math functions (cos, sin, acos, and more....) using 100% AVX/Neon instructions (no branching) ...

Sept, 2022 The paper DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population has been accepted by the EMNLP 2022 System Demonstration Track. May, 2022 We have released ...

Functions are one of the most fundamental concepts in mathematics, forming the foundation for topics in algebra, calculus and many other areas. A solid understanding of the basics of functions, ...

This section focuses on the key features and methods for working with linear graphs. It demonstrates how to sketch graphs from rules, derive rules from graphs, and calculate key features such as the ...

Improvements are being made in stages as we migrate content from educationstandards.nsw.edu.au. Stage 6 syllabus information and exam resources are the latest content to move, and other curriculum ...