Adversarial Graph Perturbations for Recommendations at Scale-Reference-Cited by-同舟云学术

Adversarial Graph Perturbations for Recommendations at Scale

Published:2022-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Chen Huiyuan¹,Zhou Kaixiong²,Lai Kwei-Herng²,Hu Xia²,Wang Fei¹,Yang Hao¹

Affiliation:

1. Visa Research, palo alto, CA, USA

2. Rice University, Houston, TX, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477495.3531763

Reference36 articles.

1. George Casella and Christian P Robert . 1996. Rao-Blackwellisation of sampling schemes. Biometrika ( 1996 ), 81--94. George Casella and Christian P Robert. 1996. Rao-Blackwellisation of sampling schemes. Biometrika (1996), 81--94.

2. Adversarial tensor factorization for context-aware recommendation

3. Data Poisoning Attacks on Cross-domain Recommendation

4. Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems

5. Hanjun Dai , Hui Li , Tian Tian , Xin Huang , Lin Wang , Jun Zhu , and Le Song . 2018 . Adversarial attack on graph structured data . In International conference on machine learning. 1115--1124 . Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, and Le Song. 2018. Adversarial attack on graph structured data. In International conference on machine learning. 1115--1124.

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