Adversarial robustness of similarity-based link prediction
K Zhou, TP Michalak… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, TP Michalak, Y Vorobeychik - 2019 IEEE International …, 2019 - computer.org
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, TP Michalak, Y Vorobeychik - arXiv preprint arXiv:1909.01432, 2019 - arxiv.org
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, T Michalak, Y Vorobeychik - IEEE International Conference on …, 2019 - par.nsf.gov
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
[PDF][PDF] Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, TP Michalak, Y Vorobeychik - researchgate.net
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
[PDF][PDF] Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, TP Michalak, Y Vorobeychik - network-games-muri.engin.umich …
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, TP Michalak, Y Vorobeychik - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
Adversarial robustness of similarity-based link prediction
K Zhou, TP Michalak… - 19th IEEE International …, 2019 - research.polyu.edu.hk
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …
[PDF][PDF] Adversarial Robustness of Similarity-Based Link Prediction
K Zhou, TP Michalak, Y Vorobeychik - network-games-muri.engin.umich …
Link prediction is one of the fundamental problems in social network analysis. A common set
of techniques for link prediction rely on similarity metrics which use the topology of the …
of techniques for link prediction rely on similarity metrics which use the topology of the …