Code for MB-GMN, SIGIR 2021

Last update: Dec 04, 2022

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Overview

MB-GMN

Code for MB-GMN, SIGIR 2021

For Beibei data, run

python .\labcode.py

For Tmall data, run

python .\labcode.py --data tmall --rank 2

For IJCAI data, run

python .\labcode_samp.py --data ijcai --rank 2 --graphSampleN 40000

Owner

GitHub Repository

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Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

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(中文文档|简体中文|English) 什么是推荐系统? 推荐系统是在互联网信息爆炸式增长的时代背景下，帮助用户高效获得感兴趣信息的关键；推荐系统也是帮助产品最大限度吸引用户、留存用户、增加用户粘性、提高用户转化率的银弹。有无数优秀的产品依靠用户可感知的推荐系统建立了良好的口碑，也有无数的公司依

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Code for MB-GMN, SIGIR 2021

Related tags

Overview

MB-GMN

Owner

Books Recommendation With Python

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

Code for KHGT model, AAAI2021

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

This library intends to be a reference for recommendation engines in Python

An Efficient and Effective Framework for Session-based Social Recommendation

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Movie Recommender System

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

6002project-rl - An implemention of offline RL on recommender system

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

It is a movie recommender web application which is developed using the Python.

Recommendation Systems for IBM Watson Studio platform

Hierarchical Fashion Graph Network for Personalized Outfit Recommendation, SIGIR 2020

Recommendation System to recommend top books from the dataset

A Library for Field-aware Factorization Machines

Cross-Domain Recommendation via Preference Propagation GraphNet.