AdaMCL: Adaptive Multi-View Fusion Contrastive Learning for Collaborative Filtering

This is the official PyTorch implementation of AdaMCL:

Overview

We propose a novel adaptive multi-view fusion contrastive learning framework, named (AdaMCL), for graph collaborative filtering.

Requirements

recbole==1.0.0
python==3.7.7
pytorch==1.7.1

Quick Start

python main.py --dataset ml-1m

You can replace ml-1m to yelp, amazon-books, gowalla-merged or alibaba to reproduce the results reported in our paper.