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README.md
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- Cryptocurrency
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- Bitcoin
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pretty_name: EBA
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- Cryptocurrency
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- Bitcoin
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pretty_name: EBA
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---
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# Overview
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[EBA](https://github.com/B1AAB/EBA) interfaces with the Bitcoin network to
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create a graph of the full history of on-chain transactions,
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which includes the complete trading details of `>8.72B` BTC.
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This temporal heterogeneous graph consists of `>2.4B` nodes and `>39.7B`
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time-stamped edges spanning more than a decade,
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making it an ideal resource for developing models on Bitcoin
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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.
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To simplify working with the pipeline and its resources,
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we have split them into separate repositories:
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- [ETL pipeline](eba.b1aab.ai/docs/bitcoin/etl/overview);
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- [Dataset release](eba.b1aab.ai/releases/data-release/v1);
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- [Sample communities](https://www.kaggle.com/datasets/vjalili/bitcoin-graph-sampled-communities);
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- [_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,
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covering all blocks up to height `863 000`. The statistics are derived from four sources:
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parsed from block headers, ETL logs, summarized from block content,
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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;
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either used as an independent resource
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(e.g., to forecast trade volume) or to complement other datasets.
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For instance, they can be combined with the Bitcoin Graph or
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off-chain market indicators (like high, low, open, and close prices)
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to enhance forecasting models.
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[Dataset and features documentation](eba.b1aab.ai/docs/bitcoin/datasets/stats)
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