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This PR adds the TemporalPercolation implementation to pathpyG.

Key Features:

Temporal Graph Processing: Constructs event graphs from temporal edge lists using pathpyG.
Connected Components Analysis: Identifies connected components in event graphs using pathpyG's built-in algorithms.
Percolation Metrics Computation: Computes event-graph node sizes, underlying graph nodes, and component lifetimes.
Critical Threshold Detection: Determines percolation phase transitions.
Data Visualization: Generates plots for component measures, percolation metrics, and probability distributions.

Changes in this PR:

  • Implements a temporal percolation model for event graphs.
  • Includes functionality to compute component measures (S_E, S_G, S_LT).

Please review and let me know if any modifications are needed.

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