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

PyTorch Implementation for Neural Graph Collaborative Filtering

The PyTorch implementation of LightGCN

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".

Neural Graph Collaborative Filtering, SIGIR2019

[WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"

[SIGIR 2024] CaDRec: Contextualized and Debiased Recommender Model

This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorflow..

A counterfactual collaborative session-based recommender system. WWW'23.

Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)". (KDD'23)

A sequence recommendation algorithm.

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

Improving Recommendation Fairness via Data Augmentation-WWW23

data process service

Deconfounded Causal Collaborative Filtering

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

A list of Graph Causal Learning materials.