The GraphTide Real-World Dynamic Graph Datasets

GraphTide is a collection of large dynamic graph datasets in a compact binary format for streaming graph algorithms, dynamic graph benchmarks, and temporal graph analysis.

Download the source code from wheatman/GraphTide. It contains the binary IO spec, Python readers/converters, source parsers, and C++ analysis code.

Layout

signal_graphs/   insert-only temporal edge streams
update_graphs/   explicit edge insert/delete streams

Download

The full dataset is large, so download only the files you need when possible.

pip install -U huggingface_hub
huggingface-cli download DynamicGraphsProvider/GraphTide \
  signal_graphs/soc-youtube-growth.bin \
  --repo-type dataset --local-dir GraphTide

To clone everything:

git lfs install
git clone https://huggingface.co/datasets/DynamicGraphsProvider/GraphTide

Binary Format

Each file starts with a 32-byte little-endian header: three uint64 values (num_vertices, num_unique_edges, total_updates), five uint8 values (signal, vertex_id_type, timestamp_type, directed, weight_type), and three padding bytes. Rows contain src, dst, optional timestamp, optional weight, and for update graphs an info byte. The shipped files are directed, unweighted, and use UINT32 vertex IDs and UINT32 timestamps.

See https://github.com/wheatman/GraphTide/blob/main/IO/README.md for details.