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README.md
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---
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license: mit
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---
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# The GraphTide Real-World Dynamic Graph Datasets
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GraphTide is a collection of large dynamic graph
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graph
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## Layout
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```text
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signal_graphs/
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update_graphs/
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```
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## Download
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-
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```bash
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pip install -U huggingface_hub
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signal_graphs/soc-youtube-growth.bin \
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--repo-type dataset
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```
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-
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```bash
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-
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```
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## Binary Format
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Each file starts with a 32-byte little-endian header: three `uint64` values
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(`num_vertices`, `num_unique_edges`, `total_updates`), five `uint8` values
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(`signal`, `vertex_id_type`, `timestamp_type`, `directed`, `weight_type`), and
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three padding bytes.
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Rows contain `src`, `dst`, optional `timestamp`, optional `weight`, and for
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update graphs an `info` byte. The shipped files are directed, unweighted, and use
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`UINT32` vertex IDs and `UINT32` timestamps.
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---
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license: mit
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tags:
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- graph
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- dynamic-graph
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- temporal-graph
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---
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# The GraphTide Real-World Dynamic Graph Datasets
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GraphTide is a collection of large-scale, real-world dynamic graph
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datasets with authentic temporal information. It is intended for
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evaluating streaming graph algorithms, dynamic graph systems, and
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temporal graph analysis.
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Source code, I/O tools, validation utilities, and documentation are
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available in the
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[GraphTide GitHub repository](https://github.com/wheatman/GraphTide).
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## Graph Types
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GraphTide contains two types of dynamic graphs:
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- **Signal graphs** record timestamped interactions between vertices,
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such as transactions, comments, commits, or flights.
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- **Update graphs** record explicit edge insertions and deletions,
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allowing the graph state to be reconstructed over time.
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## Repository Layout
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```text
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signal_graphs/ Timestamped edge-event streams
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update_graphs/ Explicit edge insertion/deletion streams
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```
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Each graph is distributed as an individual `.bin` file.
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## Download
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Install the Hugging Face tools:
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```bash
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pip install -U huggingface_hub hf_xet
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```
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Download one dataset:
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```bash
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hf download DynamicGraphsProvider/GraphTide \
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signal_graphs/soc-youtube-growth.bin \
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--repo-type dataset \
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--local-dir GraphTide-data
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```
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Download the complete collection:
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```bash
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hf download DynamicGraphsProvider/GraphTide \
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--repo-type dataset \
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--local-dir GraphTide-data
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```
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The complete collection is large, so downloading individual files is
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recommended.
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## Reading the Data
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Install the GraphTide Python tools:
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```bash
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git clone https://github.com/wheatman/GraphTide.git GraphTide-code
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python -m pip install -e ./GraphTide-code
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```
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Inspect a graph header:
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```python
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from pybinding import read_header
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header = read_header(
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"GraphTide-data/signal_graphs/soc-youtube-growth.bin"
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)
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print(header)
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```
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Load a graph into a NumPy structured array:
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```python
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from pybinding import read_bin
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header, data = read_bin(
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"GraphTide-data/signal_graphs/soc-youtube-growth.bin"
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)
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```
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Large datasets should be processed with the streaming C++ I/O
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interface rather than loaded completely into memory.
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## Binary Format
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Each file begins with a 32-byte little-endian header containing:
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```text
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num_vertices
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num_unique_edges
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total_updates
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signal
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vertex_id_type
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timestamp_type
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directed
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weight_type
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```
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The header is followed by tightly packed records containing:
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```text
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src, dst, [timestamp], [weight], [info]
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```
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Optional fields are determined by the header. For update graphs:
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```text
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info = 0 insertion
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info = 1 deletion
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```
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Graph type, direction, weight support, and field widths may differ
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across datasets.
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See the complete
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[binary format specification](https://github.com/wheatman/GraphTide/blob/main/IO/README.md).
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## Validation
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Validate a binary graph with:
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```bash
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cd GraphTide-code
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python -m pybinding.validate /path/to/dataset.bin
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```
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For an update graph, the optional stateful check verifies the
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insertion/deletion sequence:
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```bash
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python -m pybinding.validate /path/to/dataset.bin \
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--check-update-sequence
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```
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## Contributing a Dataset
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GraphTide welcomes community-contributed real-world dynamic graph
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datasets. Providing the original parser is encouraged but not
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required.
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Before uploading a large file, open a
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[New dataset proposal](https://github.com/wheatman/GraphTide/issues/new?template=new-dataset.yml)
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describing:
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- the source, citation, and license;
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- signal/update and directed/undirected properties;
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- vertex and edge-event semantics;
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- timestamp unit;
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- cleaning decisions; and
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- approximate dataset size.
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After the proposal is approved:
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1. Convert the data to the GraphTide binary format.
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2. Run the validator.
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3. Upload the `.bin` file to this repository as a pull request.
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4. Link the Hugging Face pull request from the GitHub proposal.
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For a signal graph:
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```bash
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hf auth login
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hf upload DynamicGraphsProvider/GraphTide \
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/path/to/dataset.bin signal_graphs/DATASET_ID.bin \
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--repo-type dataset \
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--create-pr \
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--commit-message "Add DATASET_ID dynamic graph"
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```
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Use `update_graphs/DATASET_ID.bin` for an update graph.
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See the complete
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[contribution guidelines](https://github.com/wheatman/GraphTide/blob/main/CONTRIBUTING.md).
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## Maintenance
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Accepted datasets are maintained as versioned Hugging Face revisions.
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Corrections or refreshed snapshots should be submitted through a new
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proposal and pull request.
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For questions or dataset proposals, use the
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[GraphTide issue tracker](https://github.com/wheatman/GraphTide/issues).
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