ChangxinTian / RAPULinks
[KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".
☆12Updated 4 years ago
Alternatives and similar repositories for RAPU
Users that are interested in RAPU are comparing it to the libraries listed below
Sorting:
- This repository contains our implementations for Shilling Attacks against Recommender Systems.☆22Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 3 years ago
- A unified framework for recommender system attacking☆32Updated last year
- ☆53Updated last year
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆39Updated 9 months ago
- Improving Recommendation Fairness via Data Augmentation-WWW23☆13Updated 2 years ago
- The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)☆27Updated last year
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆13Updated 2 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated 2 years ago
- A Survey of Poisoning Attacks and Defenses in Recommender Systems☆38Updated last month
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆42Updated 3 years ago
- SGL PyTorch version☆111Updated 3 years ago
- Data poisoning attack of recommend system using the algorithm of MF.☆31Updated 7 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago
- This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"☆17Updated 3 years ago
- [CIKM '24] Implementation of "Multi-Behavior Generative Recommendation"☆45Updated last year
- Implement Fair Recommendation Model In RecBole☆27Updated 2 years ago
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆61Updated 2 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Updated 2 years ago
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆86Updated 2 years ago
- [NeurIPS'24] The official implementation code of LLM-ESR.☆29Updated last year
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆126Updated 3 years ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆54Updated last year
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆33Updated last year
- Diffusion Recommender Model☆234Updated last year
- Diffusion Models, Recommender Systems, Recommendation, Diff4Rec☆74Updated 9 months ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Updated last year