Jun 6, 2023 · We design JGCF, an efficient and effective method for CF based on Jacobi polynomial bases and frequency decomposition strategies.

Aug 4, 2023 · A jacobi-polynomial-based graph collaborative filtering method that achieves sota performance.

Jun 6, 2023 · This shows that a good graph filter should be able to model the two signal parts separately, one by a band-stop filter which uses simple linear ...

JGCF, an efficient and effective method for CF based on Jacobi polynomial bases and frequency decomposition strategies is designed, which brings at most ...

A simple, efficient and effective Jacobi polynomial-based graph collaborative filtering algorithm built on recbole.

Duration: 2:49
Posted: Jul 12, 2023

Nov 22, 2023 · 概. 利用Jacobi Convolution 来区分高中低频信号. 符号说明. U U , user set;. I I , item set;. N=|U|+|I| N = | U | + | I | ;.

Co-authors ; On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. J Guo, L Du, X Chen, X Ma, Q Fu, S Han, D Zhang ...

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering ... Graph CF has attracted more and more attention in ...

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering · Conference Paper. August 2023. ·. 15 Reads. ·. 8 Citations.