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Supply chains & GNN propagation

Files

  • sc_experiments.py: construct multi-tier supply chain, convert to networkx graph, compute PageRank and PMI.
  • battery_parts_prediction.ipynb: preliminary experiments to predict battery parts based on supply chain data.
  • ts_experiments.py: get data, construt time series analysis, build baseline
  • battery_time_series_analysis.ipynb: preliminary experiments to analyze battery-bms time series correlation, with baseline.
  • constants_and_utils.py: constants and utilities for experiments
  • battery_time_series_analysis.ipynb: preliminary experiments to analyze battery-bms time series correlation, with baseline.
  • test_RAM.ipynb: track real-time RAM usage

See the compare_data module for code and documentation on aggregating the Hitachi supply chains dataset, and its comparison with the referent United Nations BACI dataset. The latter is widely used in econometrics and international trade research.