YuyingZhao / Awesome-Fairness-and-Diversity-Papers-in-Recommender-SystemsLinks
This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.
☆25Updated 2 years ago
Alternatives and similar repositories for Awesome-Fairness-and-Diversity-Papers-in-Recommender-Systems
Users that are interested in Awesome-Fairness-and-Diversity-Papers-in-Recommender-Systems are comparing it to the libraries listed below
Sorting:
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- This repository includes the implementation of CAGCN and the experiments on link prediction/node classification☆54Updated 2 years ago
- ☆59Updated 3 years ago
- SGL PyTorch version☆114Updated 3 years ago
- CIKM 2022: SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation☆21Updated 3 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆43Updated 3 years ago
- Session-based Recommendation☆65Updated last year
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago
- User-oriented Fairness in Recommendation☆29Updated 4 years ago
- HCCF, SIGIR 2022☆100Updated 2 years ago
- Improving Recommendation Fairness via Data Augmentation-WWW23☆14Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆18Updated 3 years ago
- A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations☆29Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆64Updated 2 years ago
- ☆53Updated last year
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆97Updated 3 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆124Updated 3 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆110Updated last year
- This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)☆72Updated 5 years ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆198Updated 2 years ago
- Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.☆53Updated 2 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Updated 2 years ago
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆62Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated last year
- The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)☆64Updated 3 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆21Updated 2 years ago
- ☆70Updated 5 years ago
- Implement Fair Recommendation Model In RecBole☆27Updated 2 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago