| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - graph-ml |
| tags: |
| - Cryptocurrency |
| - Bitcoin |
| pretty_name: EBA |
| --- |
| |
| # Overview |
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| [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. |
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| Please refer to the following paper for details: |
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| > [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) |
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| 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). |
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| # Block Metadata |
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| 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. |
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| 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. |
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| [Dataset and features documentation](eba.b1aab.ai/docs/bitcoin/datasets/stats) |