GitHub

Neural Graph Collaborative Filtering

This is our Tensorflow implementation for the paper: Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua (2019). Neural Graph Collaborative Filtering, Paper in ACM DL or Paper in arXiv.
IEEE

Reweighted Spectral Graph Filter for Collaborative Filtering

Abstract: Recent graph signal processing (GSP)-based collaborative filtering (CF) methods have demonstrated superior performance. However, these methods tend to overemphasize low-frequency signals in ...
GitHub

Aman-Mujawar/Movie-Recommendation

This project implements a complete movie recommendation system using the MovieLens 100K dataset. It includes three different recommendation approaches: user-based collaborative filtering, item-based ...
IEEE

Contrastive Learning based on Diffusion Graph for Implicit Collaborative Filtering

Abstract: Recently, collaborative filtering based on contrastive learning has been intensively researched in the recommendation community, where positives are user-item interactions and negatives are ...