On Sampling and Recovery of Topology of Directed Social Networks – A Low-Rank Matrix Completion Based Approach-Reference-Cited by-同舟云学术

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On Sampling and Recovery of Topology of Directed Social Networks – A Low-Rank Matrix Completion Based Approach

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 44th Conference on Local Computer Networks (LCN)
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Author:

Mahindre Gunjan,Jayasumana Anura P.,Gajamannage Kelum,Paffenroth Randy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8970147/8990670/08990707.pdf?arnumber=8990707

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Matrix Completion in Almost-Verification Time;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

2. Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-01-01

3. Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders;PATTERN RECOGN;2022

4. Computational and Theoretical Challenges for Computing the Minimum Rank of a Graph;INFORMS Journal on Computing;2022-11

5. A Pre-training Oracle for Predicting Distances in Social Networks;2021 IEEE International Conference on Big Data (Big Data);2021-12-15

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