DPNE: Differentially private network embedding

Mathematics

• Privacy 42%
• Data Mining 25%
• Factorization of Matrices 15%
• Stochastic Gradient 14%
• Leverage 14%
• Network Structure 14%
• Adjacency Matrix 11%
• Laplace 10%
• Learning 10%
• Random walk 9%
• Objective function 9%
• Factorization 9%
• Prediction 8%
• Evaluate 8%
• Knowledge 8%
• Experiment 8%
• Perturbation 7%
• Vertex of a graph 6%

Engineering & Materials Science

• Factorization 100%
• Data mining 83%
• Sampling 35%
• Experiments 17%