Untargeted Adversarial Attack on Knowledge Graph Embeddings-Reference-Cited by-同舟云学术

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Untargeted Adversarial Attack on Knowledge Graph Embeddings

Published:2024-07-10 Issue: Volume:1 Page:1701-1711
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhao Tianzhe¹^ORCID,Chen Jiaoyan²^ORCID,Ru Yanchi¹^ORCID,Lin Qika³^ORCID,Geng Yuxia⁴^ORCID,Liu Jun⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China

2. Department of Computer Science, The University of Manchester, Manchester, United Kingdom

3. National University of Singapore, Singapore, Singapore

4. School of Computer Science, Hangzhou Dianzi University, Hangzhou, China

5. National Engineering Lab for Big Data Analytics, Xi'an Jiaotong University, Xi'an, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Key Research and Development Program of China

National Science Foundation of China

LENOVO-XJTU Intelligent Industry Joint Laboratory Project

The EPSRC project ConCur

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657702

Reference42 articles.

1. Stealthy Targeted Data Poisoning Attack on Knowledge Graphs

2. Adversarial Explanations for Knowledge Graph Embeddings

3. Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

4. Poisoning Knowledge Graph Embeddings via Relation Inference Patterns

5. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems (NIPS).

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