Adversarial link deception against the link prediction in complex networks
Z Jiang, X Tang, Y Zeng, J Li, J Ma - Physica A: Statistical Mechanics and …, 2021 - Elsevier
Currently, the link prediction tool has been extensively used in kinds of complex networks for
the use of friend, commodity, or service recommendations. However, many adversaries may …
the use of friend, commodity, or service recommendations. However, many adversaries may …
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 …
Link-backdoor: Backdoor attack on link prediction via node injection
H Zheng, H Xiong, H Ma, G Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Link prediction, inferring the undiscovered or potential links of the graph, is widely applied in
the real world. By facilitating labeled links of the graph as the training data, numerous deep …
the real world. By facilitating labeled links of the graph as the training data, numerous deep …
Attacking similarity-based link prediction in social networks
Link prediction is one of the fundamental problems in computational social science. A
particularly common means to predict existence of unobserved links is via structural …
particularly common means to predict existence of unobserved links is via structural …
Target link protection against link-prediction-based attacks via artificial bee colony algorithm based on random walk
Link prediction is a network analysis model used to discover missing links or future
relationships that may appear, which has been widely used in many real network systems to …
relationships that may appear, which has been widely used in many real network systems to …
[引用][C] Degrading the accuracy of interlayer link prediction: A method based on the analysis of node importance
R Tang, Z Yong, Y Mei, X Li, J Ding… - International Journal of …, 2024 - World Scientific
Interlayer link prediction aims to identify the same entities in multiplex networks, providing
significant value for applications like social network analysis and personalized …
significant value for applications like social network analysis and personalized …
Evolutionary Perturbation Attack on Temporal Link Prediction
T Zhang, L Lv, D Bardou - Journal of the Physical Society of Japan, 2024 - journals.jps.jp
Link prediction plays an important role in network analysis and can be applied to many
applications, including marketing analysis and information retrieval. However, for privacy …
applications, including marketing analysis and information retrieval. However, for privacy …
Adversarial attacks on link prediction algorithms based on graph neural networks
Link prediction is one of the fundamental problems for graph-structured data. However, a
number of applications of link prediction, such as predicting commercial ties or memberships …
number of applications of link prediction, such as predicting commercial ties or memberships …
Attack tolerance of link prediction algorithms: How to hide your relations in a social network
Link prediction is one of the fundamental research problems in network analysis. Intuitively,
it involves identifying the edges that are most likely to be added to a given network, or the …
it involves identifying the edges that are most likely to be added to a given network, or the …
Robustness of link prediction under network attacks
K Wang, L Li, C Pu - arXiv preprint arXiv:1811.04528, 2018 - arxiv.org
While link prediction in networks has been a hot topic over the years, its robustness has not
been well discussed in literature. In this paper, we study the robustness of some mainstream …
been well discussed in literature. In this paper, we study the robustness of some mainstream …