Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their adaptability to ...

Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their adaptability to ...

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 ...

We propose a functional view of matrix decomposition problems on graphs such as geometric matrix completion and graph regularized dimensionality reduction. Our unifying framework is based on a key ...

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 ...

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