Matrix factorization techniques have been frequently applied in information retrieval, computer vision, and pattern recognition. Among them, Nonnegative Matrix Factorization (NMF) has received ...

Familiarity with notions such as vector, matrix, matrix-vector multiplication, inner product and distance of vectors, transpose and inverse of a matrix, eigenvalue, eigenvector, derivative of a ...

Among all the real-world application scenarios, feature extraction from knowledge graph (KG) for personalized recommendation has achieved substantial performance for addressing the problem of ...

1) We propose G2CDA, a novel geometric graph representation learning framework for circRNA–drug association (CDA) prediction. Extensive benchmarking demonstrates its strong ability to identify novel ...

Matrix Multiplication Decomposition from AlphaEvolve This repository contains code to generate a symbolic representation of the matrix multiplication decompositions from Google DeepMind's AlphaEvolve ...