sisinflab / adversarial-recommender-systems-surveyLinks
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
☆162Updated 4 years ago
Alternatives and similar repositories for adversarial-recommender-systems-survey
Users that are interested in adversarial-recommender-systems-survey are comparing it to the libraries listed below
Sorting:
- 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☆51Updated 4 years ago
- A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems☆23Updated 4 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆75Updated 4 years ago
- This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversar…☆34Updated 7 years ago
- Graph Neural Network based Social Recommendation Model. SIGIR2019.☆184Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆108Updated 3 years ago
- A pytorch implementation for BPR (Bayesian Personalized Ranking).☆144Updated 6 years ago
- A curated collection of adversarial attack and defense on recommender systems.☆136Updated 3 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of exist…☆153Updated 4 years ago
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020☆114Updated 2 years ago
- ☆176Updated 3 years ago
- The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)☆156Updated last year
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 4 years ago
- PyTorch Implementation for Neural Graph Collaborative Filtering☆307Updated 4 years ago
- ☆70Updated 5 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆140Updated 2 years ago
- A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)☆199Updated last year
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆142Updated 5 years ago
- Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.☆25Updated 4 years ago
- A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…☆108Updated 4 years ago
- Fairrec: fairness-aware news recommendation with decomposed adversarial learning☆16Updated 4 years ago
- A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)☆59Updated 3 years ago
- ☆183Updated 6 years ago
- Bayesian Personalized Ranking using PyTorch☆139Updated 8 months ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Updated 5 years ago