ChangxinTian / RAPULinks
[KDD'21] Official PyTorch implementation for "Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data".
☆13Updated 4 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".☆18Updated 3 years ago
- This repository contains our implementations for Shilling Attacks against Recommender Systems.☆24Updated 3 years ago
- The official implementation of "Robust Preference-Guided Denoising for Graph based Social Recommendation" (WWW'23)☆31Updated 2 years ago
- A unified framework for recommender system attacking☆32Updated last year
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- This is the code implementation for the paper "Data Poisoning Attacks to Deep Learning Based Recommender Systems"☆17Updated 3 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆21Updated 2 years ago
- SGL PyTorch version☆114Updated 3 years ago
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆39Updated 11 months ago
- ☆53Updated last year
- Data poisoning attack of recommend system using the algorithm of MF.☆31Updated 7 years ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆38Updated 3 years ago
- ☆41Updated 2 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆124Updated 3 years ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆12Updated 2 years ago
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆62Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆43Updated 3 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago
- ☆11Updated last year
- Improving Recommendation Fairness via Data Augmentation-WWW23☆14Updated 2 years ago
- ☆24Updated 3 years ago
- ☆21Updated last year
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆17Updated 2 years ago
- A Survey of Poisoning Attacks and Defenses in Recommender Systems☆40Updated 3 months ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆37Updated last year
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆28Updated 3 years ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆55Updated last year
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆35Updated last year
- Implement Fair Recommendation Model In RecBole☆27Updated 2 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆110Updated last year