572 Open source projects that are alternatives of or similar to GNN-Recommender-Systems

A reading list for deep graph learning acceleration.

Code and resources on scalable and efficient Graph Neural Networks

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

links to conference publications in graph-based deep learning

Disentagnled Graph Collaborative Filtering, SIGIR2020

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Representation Learning on Graphs with Jumping Knowledge Networks

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

StellarGraph - Machine Learning on Graphs

A distributed graph deep learning framework.

One Person, One Model, One World: Learning Continual User Representation without Forgetting

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Classic papers and resources on recommendation

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

A curated list of awesome graph & self-supervised-learning-based recommendation.

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

Summary of social recommendation papers and codes

RecDB is a recommendation engine built entirely inside PostgreSQL

项亮的《推荐系统实践》的代码实现

Basic Movie Recommendation Web Application using user-item collaborative filtering.

kNN-based next-basket recommendation

Reinforced Recommendation toolkit built around pytorch 1.7

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

Best Practices on Recommendation Systems

Multi-order Attentive Ranking Model for Sequential Recommendation

A framework for large scale recommendation algorithms.

A simple movie recommendation engine

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

recommender system tutorial with Python

Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

A Comparative Framework for Multimodal Recommender Systems

Hybrid Recommender System

A TensorFlow recommendation algorithm and framework in Python.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

A tutorial series by Preferred.AI

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

This repository contains some datasets that I have collected in Recommender Systems.

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

🛍️RetailBox - eCommerce Recommender System using Machine Learning

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

A package for interleaving / multileaving ranking generation in go

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

RiVal recommender system evaluation toolkit

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

Accelerated deep learning R&D

Subgraph Neural Networks (NeurIPS 2020)

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

Visualization tool for Graph Neural Networks

Recommendation based on sequence

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks