JinruiWei

GCE-GNN

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

styles

中文 CSL 样式

graphormer-pyg

Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric

Graph_Sampling

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

GCL4SR

SIGIR21-SURGE

Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

GCA

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

CoSeRec

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

MGCL

The complete codes of the paper "Multimodal Graph Contrastive Learning for Recommendation"

GraphiT

Official Pytorch Implementation of GraphiT

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

CIKM2020-S3Rec

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

GTN

SASRec.pytorch

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

BERT4Rec-VAE-Pytorch

Pytorch implementation of BERT4Rec and Netflix VAE.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

NCF

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

neural_collaborative_filtering

Neural Collaborative Filtering

DIB-PEB-Sequential-RS

A tensorflow implementation of the paper "Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation" in IJCAI 2019

STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

RecBole

A unified, comprehensive and efficient recommendation library

CORE

[SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

KION_DATASET

This is an official repository of the Kion Movies Recommendation Dataset.

pyGRU4REC

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

Neural-Attentive-Session-Based-Recommendation-PyTorch

A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)

dien

Co-Action-Network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

KuaiRand

An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos