GNN-RecSys

GNN recommender

A framework for building and training Graph Neural Networks for recommendation systems

Graph Neural Networks for Recommender Systems

GitHub

284 stars
6 watching
59 forks
Language: Python
last commit: about 5 years ago

Related projects:

RepositoryDescriptionStars
yihong-chen/neural-collaborative-filteringAn implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization.486
fxsjy/gonnAn implementation of Neural Networks in Go Language361
deepgraphlearning/recommendersystemsA comprehensive library of algorithms and techniques for building recommender systems1,102
deepgraphlearning/gmnnA software framework that integrates statistical relational learning and graph neural networks for semi-supervised object classification and unsupervised node representation learning.403
tensorflow/gnnBuilds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.1,372
greenwolf-nsk/yandex-cup-2022-recsysA recommender system built using multiple candidate selection and ranking methods for predicting next item likes in a streaming data environment.54
delta2323/gb-gnnAnalyzes and optimizes the performance of graph neural networks using gradient boosting and various aggregation models.13
xiangwang1223/neural_graph_collaborative_filteringA Python implementation of a graph neural network-based collaborative filtering framework for personalized recommendation systems812
hexiangnan/neural_collaborative_filteringAn implementation of collaborative filtering models using deep learning techniques1,806
ivaniscoding/gnn-for-combinatorial-optimizationAn implementation of graph neural networks for solving combinatorial optimization problems43
bupt-gamma/multi-component-graph-convolutional-collaborative-filteringA deep learning framework for collaborative filtering and graph-based recommender systems60
mauriziofd/recsys2019_deeplearning_evaluationAn evaluation framework and repository of deep learning algorithms for recommendation systems985
dmlc/gnnlens2An interactive visualization tool for graph neural networks242
snap-stanford/distance-encodingA deep learning framework designed to improve the performance of Graph Neural Networks (GNNs) through distance encoding techniques.184
google-deepmind/jraphA lightweight library for working with graph neural networks in jax.1,380