ChangxinTian / RAPU
[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
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆16Updated 2 years ago
- This repository contains our implementations for Shilling Attacks against Recommender Systems.☆21Updated 2 years ago
- A unified framework for recommender system attacking☆28Updated 9 months ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- ☆32Updated last year
- Implement Fair Recommendation Model In RecBole☆24Updated last year
- SGL PyTorch version☆104Updated 2 years ago
- Implementation of Representative Group Recommendation Models☆16Updated last year
- Improving Recommendation Fairness via Data Augmentation-WWW23☆12Updated last year
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆48Updated 3 years ago
- Codes, data, and baselines for CIKM 2023 Long Paper "Dual Intents Graph Modeling for User-centric Group Discovery"☆16Updated last year
- ☆23Updated 2 years ago
- A Pytorch Recommendation Framework with Implicit Feedback.☆39Updated last year
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆28Updated 5 months ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆37Updated 2 years ago
- Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)☆23Updated 4 months ago
- Tensorflow implementation of TrialAttack (Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 20…☆11Updated 3 years ago
- Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.☆11Updated last year
- The repository of WWW23 paper: Cross-domain Recommendation with Behavioral Importance Perceptron☆13Updated last year
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated last year
- Data poisoning attack of recommend system using the algorithm of MF.☆29Updated 6 years ago
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆27Updated 2 years ago
- Diffusion Models, Recommender Systems, Recommendation, Diff4Rec☆38Updated 3 months ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆51Updated last year
- 🔨 跨域序列推荐(Cross-Domain Sequential Recommendation)的算法工具箱,旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱 已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。☆18Updated last year
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆37Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 2 months ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆32Updated last year
- repository for "Adaptive Disentangled Transformer for Sequential Recommendation"☆14Updated last year