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Link Prediction in Signed Networks
Proceedings of the 31st ACM Conference on Hypertext and Social Media, 2020Signed networks represent the real world relationships, which are both positive or negative. Recent research works focus on either discriminative or generative based models for signed network embedding. In this paper, we propose a generative adversarial network (GAN) model for signed network which unifies generative and discriminative models to ...
Chakraborty, Roshni +2 more
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Partitioning Signed Social Networks
Social Networks, 2009Structural balance theory has proven useful for delineating the blockmodel structure of signed social networks. Even so, most of the observed signed networks are not perfectly balanced. One possibility for this is that in examining the dynamics underlying the generation of signed social networks, insufficient attention has been given to other processes
Andrej Mrvar, Patrick Doreian
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Controllability of Switching Signed Networks
IEEE Transactions on Circuits and Systems II: Express Briefs, 2020This brief investigates the controllability of switching signed networks, in which the interconnection topologies are directed, weighted, and switched. First, we study the controllability from the union digraph perspective and derive a graph-theoretic sufficient condition.
Yongqiang Guan
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Signed directed attention network
Computing, 2023Network embedding has facilitated lots of network analytical tasks by representing nodes as low-dimensional vectors. As an extension of convolutional neural networks from Euclidean data to irregular data, Graph Convolutional Networks (GCNs) provide a novel way to learn network representations and have attracted widespread attention currently.
Yong Wu, Binjun Wang, Wei Li, Wenmao Liu
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Efficient Signed Clique Search in Signed Networks
2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018Mining cohesive subgraphs from a network is a fundamental problem in network analysis. Most existing cohesive subgraph models are mainly tailored to unsigned networks. In this paper, we study the problem of seeking cohesive subgraphs in a signed network, in which each edge can be positive or negative, denoting friendship or conflict respectively.
Rong-Hua Li +6 more
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Negative sign prediction for signed social networks
Future Generation Computer Systems, 2019Abstract Sign prediction reveals the underlying relationships between users of signed social networks. Though negative signs usually dominate the final user decision in most real applications, since negative signs cannot be directly propagated between users like positive signs, the research of negative sign prediction is still at its beginning stage.
Weiwei Yuan +5 more
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