silab4/gnn-rel4593-graphsemcom2

GraphSemCom GNN (rel4593)

This repo contains:

• encoder_best.pt: GNN encoder weights
• edge_clf_best.pt: edge relation classifier weights
• rel2id.json: mapping of relation string -> class id
• config.json: metadata

How to use (concept)

1. Build a graph Data(x, edge_index, edge_type)
2. Run encoder -> h
3. Add AWGN to h (optional)
4. Predict relations with edge_clf(h[src], h[dst])

Trained with AWGN augmentation (random SNR 0–20 dB).