Alternatives and similar repositories for RAPU

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

• ChangxinTian / RGCF
  [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".
  ☆17Updated 3 years ago
• XMUDM / ShillingAttack
  This repository contains our implementations for Shilling Attacks against Recommender Systems.
  ☆22Updated 3 years ago
• gusye1234 / recad
  A unified framework for recommender system attacking
  ☆32Updated last year
• tsinghua-fib-lab / Graph-Denoising-SocialRec
  The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)
  ☆27Updated last year
• newlei / FDA
  Improving Recommendation Fairness via Data Augmentation-WWW23
  ☆13Updated 2 years ago
• claws-lab / awesome-GNN-social-recsys
  ☆53Updated last year
• anzhang314 / InvCF
  Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)
  ☆20Updated 2 years ago
• tamlhp / awesome-recsys-poisoning
  A Survey of Poisoning Attacks and Defenses in Recommender Systems
  ☆38Updated 2 weeks ago
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆42Updated 3 years ago
• THUwangcy / DirectAU
  KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
  ☆69Updated 3 years ago
• TangJiakai / RecBole-FairRec
  Implement Fair Recommendation Model In RecBole
  ☆27Updated 2 years ago
• MiracleHH / RecommPoison
  This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"
  ☆17Updated 3 years ago
• cjx96 / C2DSR
  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation
  ☆36Updated 2 years ago
• Daftstone / TrialAttack
  Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 20…
  ☆11Updated 4 years ago
• chenzhao-hfut / FairMI
  Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.
  ☆12Updated 2 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
• wujcan / SGL-Torch
  SGL PyTorch version
  ☆110Updated 3 years ago
• Linxyhaha / DEALRec
  Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
  ☆38Updated 8 months ago
• WxxShirley / CIKM2023DiRec
  Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"
  ☆17Updated 2 years ago
• newlei / FairGo
  Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
  ☆50Updated 4 years ago
• fuying-wang / Data-poisoning-attacks-on-factorization-based-collaborative-filtering
  Data poisoning attack of recommend system using the algorithm of MF.
  ☆30Updated 7 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
• HKUDS / MAERec
  [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"
  ☆62Updated 2 years ago
• RUCAIBox / NCL
  [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
  ☆126Updated 2 years ago
• sdu-zyx / GCL4SR
  ☆24Updated 3 years ago
• YangLiangwei / ConsisRec
  Code for paper "ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation"
  ☆45Updated 4 years ago
• DyGRec / TGSRec
  ☆56Updated 3 years ago
• HKUDS / DCRec
  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"
  ☆61Updated 2 years ago
• RUCAIBox / VQ-Rec
  [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".
  ☆86Updated 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