Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, we propose iterative ...

PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters This repository contains a PyTorch implementation of ICLR 2024 paper " PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

About Use functions and apps from the Statistics and Machine Learning Toolbox to quickly create and train linear and polynomial regression models.

Graphene, serving as electrodes, is widely applied in electronic and optoelectronic devices. Work function as one of the fundamental intrinsic characteristics of graphene directly affects the ...

Mathematics is the universal language of science while computer science is the study of the hardware and algorithms that are used in modern computer systems. Since many of the early pioneers of ...