Comparative study of graph-based recommendation models NGCF and LightGCN, reproducing benchmark results on Amazon-book and evaluating generalization on Amazon-software-2023 using Recall@20 and NDCG@20.
Neural Graph Collaborative Filtering with MovieLens in pytorch
This repository documents our comprehensive approach to building an effective recommendation system for predicting customer repurchases on Carrefour's eCommerce platform. Starting with simple statistical methods and progressing to advanced neural network architectures, we've explored multiple approaches to tackle this recommendation challenge.
Comparative Analysis of Recommender Systems on Goodreads Data: A study benchmarking SVD, SVAE, NGCF, and LightGCN models to understand their efficacy in book recommendation.
Add a description, image, and links to the ngcf topic page so that developers can more easily learn about it.
To associate your repository with the ngcf topic, visit your repo's landing page and select "manage topics."