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Jupyter Notebook Python
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Code for the paper "Block-Structure Based Time-Series Models For Graph Sequences" (2017)

This codebase is for algorithms proposed in the aforementioned paper. It consists of the following python3 scripts:

  • : has the synthetic/real instance generators
  • : has the proposed algorithms
  • : calls algorithms on various instances
  • : generates plots given in the paper

The easiest way to get started is to look at and go from there.


The prominent are: numpy, networkx, graph-tool, pulp, matplotlib.

Please make a pull request if you spot bugs or have suggestions!

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