Add optional learnable node identity features - #131
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Append or add a trainable embedding for each node before feature encoding and message passing. Keep the feature independent of k-fold splitting and external GenePT data, with focused tests for graph and flat encoders. Co-authored-by: Cursor <cursoragent@cursor.com>
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johmathe
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Summary
gene_identity=learnable, backed by one trainable embedding per shared node.This is stacked on #130, which itself follows #128 and #127. No k-fold, GenePT, OV, generated-results, or local experiment files are included.
Test plan
gene_identity=learnable