Motif Discovery Algorithms in Static and Temporal Networks: A Survey

@article{Jazayeri2020MotifDA,
  title={Motif Discovery Algorithms in Static and Temporal Networks: A Survey},
  author={Ali Jazayeri and Christopher C. Yang},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.09721}
}
Motifs are the fundamental components of complex systems. The topological structure of networks representing complex systems and the frequency and distribution of motifs in these networks are intertwined. The complexities associated with graph and subgraph isomorphism problems, as the core of frequent subgraph mining, have direct impacts on the performance of motif discovery algorithms. To cope with these complexities, researchers have adopted different strategies for candidate generation and… Expand
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odeN
  • Ilie Sarpe, Fabio Vandin
  • Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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