Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

national conference on artificial intelligence, 2020.

Cited by: 9|Bibtex|Views95
Other Links: academic.microsoft.com|arxiv.org

Abstract:

Graph Convolutional Networks (GCNs) are state-of-the-art graph based representation learning models by iteratively stacking multiple layers of convolution aggregation operations and non-linear activation operations. Recently, in Collaborative Filtering (CF) based Recommender Systems (RS), by treating the user-item interaction behavior a...More

Code:

Data:

Full Text
Your rating :
0

 

Tags
Comments