|
--- |
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task_categories: |
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- graph-ml |
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size_categories: |
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- 1M<n<10M |
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tags: |
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- lrgb |
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license: cc-by-4.0 |
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--- |
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|
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# `peptides-functional` |
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|
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### Dataset Summary |
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|
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| Dataset | Domain | Task | Node Feat. (dim) | Edge Feat. (dim) | Perf. Metric | |
|
|---|---|---|---|---|---| |
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| PCQM-Contact | Quantum Chemistry | Link Prediction | Atom Encoder (9) | Bond Encoder (3) | Hits@K, MRR |
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|
|
| Dataset | # Graphs | # Nodes | μ Nodes | μ Deg. | # Edges | μ Edges | μ Short. Path | μ Diameter |
|
|---|---:|---:|---:|:---:|---:|---:|---:|---:| |
|
| PCQM-Contact | 529,434 | 15,955,687 | 30.14 | 2.03 | 32,341,644 | 61.09 |4.63±0.63 | 9.86±1.79 | |
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|
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## Additional Information |
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|
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### Dataset Curators |
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|
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* Vijay Prakash Dwivedi ([vijaydwivedi75](https://github.com/vijaydwivedi75)) |
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|
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### Citation Information |
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|
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``` |
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@article{dwivedi2022LRGB, |
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title={Long Range Graph Benchmark}, |
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author={Dwivedi, Vijay Prakash and Rampášek, Ladislav and Galkin, Mikhail and Parviz, Ali and Wolf, Guy and Luu, Anh Tuan and Beaini, Dominique}, |
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journal={arXiv:2206.08164}, |
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year={2022} |
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} |
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``` |