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Clone temporal centrality measures for incomplete sequences of graph snapshots.

Moritz HankeRonja Foraita
Published in: BMC bioinformatics (2017)
We suggest to use clone temporal centrality measures in incomplete graph sequences settings. Compared to approaches that do not compensate for incompleteness our approach will improve the detection rate of important vertices. The proposed REN algorithm allows to calculate (clone) temporal centrality measures even for long snapshot sequences.
Keyphrases
  • neural network
  • convolutional neural network
  • deep learning
  • loop mediated isothermal amplification