ChangxinTian / RAPULinks
[KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".
☆12Updated 3 years ago
Alternatives and similar repositories for RAPU
Users that are interested in RAPU are comparing it to the libraries listed below
Sorting:
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- This repository contains our implementations for Shilling Attacks against Recommender Systems.☆22Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- Implement Fair Recommendation Model In RecBole☆26Updated 2 years ago
- Improving Recommendation Fairness via Data Augmentation-WWW23☆13Updated 2 years ago
- This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"☆17Updated 2 years ago
- SGL PyTorch version☆108Updated 3 years ago
- Data poisoning attack of recommend system using the algorithm of MF.☆30Updated 7 years ago
- A unified framework for recommender system attacking☆31Updated last year
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆12Updated 2 years ago
- The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)☆26Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆39Updated 3 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Updated last year
- Code and Results for the paper: A Revisiting Study of Appropriate Offline Evaluation for Top-𝑁 Recommendation Algorithms.☆11Updated 3 years ago
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆38Updated 4 months ago
- This repository aims to provide comprehensive paper lists of work on fairness and diversity in recommender systems.☆25Updated 2 years ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆48Updated last year
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆122Updated 2 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆103Updated last year
- ☆10Updated last year
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆78Updated 2 years ago
- Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 20…☆11Updated 3 years ago
- ☆23Updated 3 years ago
- Source code for "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering". Accepted by ACM TORS.☆26Updated 2 years ago
- [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"☆37Updated 10 months ago
- Tensorflow implementation of our SIGIR 2023 accepted paper "Generative-Contrastive Graph Learning for Recommendation"☆30Updated 10 months ago
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆183Updated 2 years ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Updated last year
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆58Updated last year