Published August 18, 2025
| Version v1
Dataset
Open
GraphLand
Authors/Creators
Description
GraphLand benchmark is introduced in the paper GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data (accepted at NeurIPS 2025 Datasets & Benchmarks Track). It provides node property prediction datasets from real-world industrial applications of graph machine learning.
Note! GraphLand datasets (with the necessary preprocessing code) are now available in PyTorch Geometric, which is likely the easiest way to access them.
Files
README.md
Files
(3.6 GB)
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11.4 kB | Download |
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167.0 MB | Preview Download |
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3.4 MB | Preview Download |
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md5:01dbb84b3053667f3cff4e4a1f7026ff
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1.1 GB | Preview Download |
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md5:7230ef09263000b09550e3748ac867b0
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1.1 GB | Preview Download |
Additional details
Identifiers
- arXiv
- arXiv:2409.14500
Software
- Repository URL
- https://github.com/yandex-research/graphland