---
license: cc-by-nc-sa-4.0
task_categories:
- graph-ml
tags:
- Cryptocurrency
- Bitcoin
pretty_name: EBA
---

# Overview 

[EBA](https://github.com/B1AAB/EBA) interfaces with the Bitcoin network to 
create a graph of the full history of on-chain transactions, 
which includes the complete trading details of `>8.72B` BTC. 
This temporal heterogeneous graph consists of `>2.4B` nodes and `>39.7B` 
time-stamped edges spanning more than a decade, 
making it an ideal resource for developing models on Bitcoin 
and a large-scale benchmark for graph neural networks.

Please refer to the following paper for details:

> [Jalili, Vahid. "The Temporal Graph of Bitcoin Transactions." The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track.](https://arxiv.org/abs/2510.20028)



We share the complete ETL pipeline and all the data it generates. 
To simplify working with the pipeline and its resources, 
we have split them into separate repositories: 
- [ETL pipeline](eba.b1aab.ai/docs/bitcoin/etl/overview); 
- [Dataset release](eba.b1aab.ai/releases/data-release/v1); 
- [Sample communities](https://www.kaggle.com/datasets/vjalili/bitcoin-graph-sampled-communities); 
- [_Hello-World_ model](https://github.com/B1AAB/GraphStudio/tree/main/quickstart/script_classification).


# Block Metadata

This dataset provides per-block summary statistics for the Bitcoin blockchain, 
covering all blocks up to height `863 000`. The statistics are derived from four sources: 
parsed from block headers, ETL logs, summarized from block content, 
and generated from the chain in a post-processing step.


The goal of these stats is to provide block-level context; 
either used as an independent resource 
(e.g., to forecast trade volume) or to complement other datasets. 
For instance, they can be combined with the Bitcoin Graph or 
off-chain market indicators (like high, low, open, and close prices) 
to enhance forecasting models.


[Dataset and features documentation](eba.b1aab.ai/docs/bitcoin/datasets/stats)