GitHub topics: lightgcn
geon0325/LightGCNpp
Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation."
Language: Python - Size: 71.2 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 10 - Forks: 4
ZahirAhmadChaudhry/Recommendation_Systems_Kaggle
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.
Language: Python - Size: 18 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ravindramohith/movie_recommender_system
A movie recommendation system utilizing a Graph Neural Network (GNN) framework implemented in Jupyter Notebook
Language: Jupyter Notebook - Size: 119 KB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0
PeiJieSun/NESCL
The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.
Language: Python - Size: 9.97 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 106 - Forks: 17
YinzhenWan/recome_wan
用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。
Language: Python - Size: 783 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 3
zukaite/BookRecSysComparison
Comparative Analysis of Recommender Systems on Goodreads Data: A study benchmarking SVD, SVAE, NGCF, and LightGCN models to understand their efficacy in book recommendation.
Language: Jupyter Notebook - Size: 193 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
chenchongthu/ENMF
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Language: Python - Size: 24.5 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 144 - Forks: 28
AhmadRK94/RecSys-CF
Implementation of various collaborative filtering methods for recommender systems with implicit feedback
Language: Jupyter Notebook - Size: 8.33 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
