gnn_dataset/README.md

🕸 Ethereum Transaction Graph Dataset (GNN)

This dataset represents Ethereum transactions as edges between addresses.
It is designed for Graph Neural Networks (GNN), both static embeddings and temporal graph learning.

---

📑 Contents

• edges_all/edges.parquet — all transactions (full edge list).
• edges_by_week/week=YYYY-Www/edges.parquet — weekly slices.
• edges_by_month/month=YYYY-MM/edges.parquet — monthly slices.
• meta/{week,month}_window_meta.parquet — time window ranges and statistics.
• labels/targets_global.parquet — labeled addresses (node_id, is_scam, is_contract, address).
• mapping/address_id_map_labels.parquet — (address, node_id) mapping.
• targets/{week,month}_targets.parquet — labeled nodes active in each window.

---

🔑 Edge Schema

Field	Type	Units	Description
src_id	UInt64	—	Source node ID (hash of lowercase Ethereum address).
dst_id	UInt64	—	Destination node ID (hash of lowercase Ethereum address).
ts	Int64	seconds	Unix timestamp of the transaction (UTC).
value_wei	STRING	wei	Transaction value in wei (exact decimal stored as string).
tx_fee_wei	STRING	wei	Transaction fee in wei (exact decimal stored as string).
block_number	Int64	block	Ethereum block number of the transaction.
contract_creation	Bool	—	True if transaction created a smart contract.
tx_hash	STRING	hex	Unique transaction hash.

---

Notes

• Transactions are not filtered: all edges included.
• Supervision: loss computed only on labeled addresses.
• Dynamic GNN: use edges_by_week/ or edges_by_month/.
• Static embeddings: use edges_all/edges.parquet.