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Linked challenge: Maritime Supply Chain Port Congestion Predictor with Graph Neural Networks and PyTorch Geometric
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Code-aware
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1
Sections
1
Linked challenge
Maritime Supply Chain Port Congestion Predictor with Graph Neural Networks and PyTorch Geometric
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Write a Python function `build_maritime_graph(nodes_df, edges_df)` returning a `torch_geometric.data.Data` object with node features and edge indices.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.