Dp-graph2vec: Learning Differential Privacy Representations of Graphs
Author:
Affiliation:
1. School of Computer Science and Engineering, Sun Yat-sen University,Guangzhou,China
2. School of Engineering and Technology, Central Queensland University,Brisbane,Australia
3. Macao Polytechnic University,Faculty of Applied Sciences,Macau,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548268.pdf?arnumber=10548268
Reference14 articles.
1. When Machine Learning Meets Privacy in 6G: A Survey
2. Our Data, Ourselves: Privacy Via Distributed Noise Generation
3. Scalable Differential Privacy with Sparse Network Finetuning
4. node2vec
5. graph2vec: Learning distributed representations of graphs;Narayanan;CoRR,2017
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