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Problem
The model uses the old BaseModel constructor and removed label-tokenizer methods. It also hardcodes the image field and expects legacy lists. Its GCN applies log_softmax unconditionally, forcing binary predictions to 0.5.
Fix
Derive fields and output size from the dataset, consume processed tensors, and return raw GCN logits for the task-specific loss and activation.
Tests
Added forward/backward tests covering binary, multiclass, and multilabel outputs, custom field names, and grayscale/RGB images.
Notes
The legacy NeighborSampler is unchanged -- tests supply adjacencies directly.