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README.md

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+
+---
+tags:
+- code-search
+- pytorch
+- gnn
+- procedural-similarity
+datasets:
+- google/code_x_glue_cc_clone_detection_poj104
+---
+
+# Procedural Code Search (GIN + CodeBERT)
+
+This model was trained to identify **procedural similarity** in C++ code (POJ-104 dataset). 
+Unlike semantic models that focus on intent ("what it does"), this model focuses on structure ("how it does it").
+
+## Architecture
+- **Backbone:** Frozen CodeBERT (microsoft/codebert-base) for node features.
+- **Head:** 2-layer GIN (Graph Isomorphism Network) for structural aggregation.
+- **Objective:** Triplet Margin Loss (Margin=0.8) to separate structurally distinct implementations.
+
+## Usage
+This is a custom PyTorch model. You must define the `CFGEncoder` class structure exactly as used in training to load these weights.