Alternatives and similar repositories for FDA

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

• anzhang314 / InvCF
  Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)
  ☆21Updated 2 years ago
• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆18Updated 3 years ago
• newlei / FairGo
  Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
  ☆50Updated 4 years ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆42Updated 3 years ago
• WujiangXu / AMID
  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".
  ☆35Updated last year
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆70Updated 3 years ago
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆64Updated 2 years ago
• rutgerswiselab / user-fairness
  User-oriented Fairness in Recommendation
  ☆29Updated 4 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
• HKUDS / DCCF
  [SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
  ☆63Updated last year
• chenzhao-hfut / FairMI
  Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.
  ☆12Updated 2 years ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆62Updated 2 years ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆38Updated 3 years ago
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆115Updated 3 years ago
• RUCAIBox / RecBole-CDR
  This is a library built upon RecBole for cross-domain recommendation algorithms
  ☆110Updated last year
• yimutianyang / KDD24-GBSR
  ☆21Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated last year
• tanatosuu / GDE
  SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
  ☆34Updated 2 years ago
• cjx96 / UniCDR
  [WSDM 2023]Towards Universal Cross-Domain Recommendation
  ☆29Updated 3 years ago
• abis330 / DSSRec
  Disentangled Self-Supervision in Sequential Recommenders
  ☆31Updated 4 years ago
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated 2 years ago
• zfan20 / STOSA
  WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"
  ☆61Updated 3 years ago
• JarenceSJ / ReviewGraph
  [SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
  ☆30Updated 3 years ago
• cjx96 / CDRIB
  [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
  ☆34Updated 3 years ago
• 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.
  ☆24Updated 2 years ago
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆124Updated 3 years ago
• gzy-rgb / CauseRec
  ☆33Updated 4 years ago
• yunqi-li / Personalized-Counterfactual-Fairness-in-Recommendation
  Code for paper "Personalized Counterfactual Fairness in Recommendation" (a.k.a. "Towards Personalized Fairness based on Causal Notion")
  ☆18Updated 4 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
• tsinghua-fib-lab / MBGCN
  ☆31Updated 3 years ago