---
license: mit
tags:
- graph-neural-network
- semantic-communication
- webnlg
- dart
---

# 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).