Alternatives and similar repositories for FairMI

Users that are interested in FairMI are comparing it to the libraries listed below

• newlei / FDA
  Improving Recommendation Fairness via Data Augmentation-WWW23
  ☆13Updated 2 years ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 3 years ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆42Updated 3 years ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆36Updated 2 years ago
• newlei / FairGo
  Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
  ☆50Updated 4 years ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆33Updated last year
• YuyingZhao / Awesome-Fairness-and-Diversity-Papers-in-Recommender-Systems
  This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.
  ☆25Updated 2 years ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆61Updated 2 years ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆111Updated 3 years ago
• zfan20 / GraphDA
  SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"
  ☆18Updated 2 years ago
• Chain123 / CAT-ART
  One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)
  ☆37Updated last year
• anzhang314 / InvCF
  Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)
  ☆20Updated 2 years ago
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆126Updated 3 years ago
• mamuyang / MIFN
  This is the our implementation for the paper: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations
  ☆12Updated 5 years ago
• claws-lab / awesome-GNN-social-recsys
  ☆53Updated last year
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆63Updated 2 years ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆70Updated 3 years ago
• CRIPAC-DIG / LATTICE
  [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
  ☆54Updated last year
• TangJiakai / RecBole-FairRec
  Implement Fair Recommendation Model In RecBole
  ☆27Updated 2 years ago
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated 2 years ago
• zfan20 / MStein
  WWW 2023 "Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation"
  ☆16Updated 2 years ago
• akaxlh / HCCF
  HCCF, SIGIR 2022
  ☆100Updated 2 years ago
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆49Updated last year
• Linxyhaha / DEALRec
  Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
  ☆39Updated 9 months ago
• ChangxinTian / RAPU
  [KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".
  ☆12Updated 4 years ago
• hulkima / Tri-CDR
  The source code is for the paper: “Triple Sequence Learning for Cross-domain Recommendation” accepted in TOIS by Haokai Ma, Ruobing Xie, …
  ☆14Updated last year
• HKUDS / LightGCL
  [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"
  ☆192Updated 2 years ago
• cjx96 / CDRIB
  [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
  ☆34Updated 2 years ago
• wenqifan03 / GTN-SIGIR2022
  Graph Trend Filtering Networks for Recommendations, SIGIR'2022
  ☆26Updated 3 years ago
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆59Updated last year