Datasets:
Formats:
webdataset
Languages:
English
Size:
10K - 100K
Tags:
graph-neural-networks
kuramoto-oscillators
basin-stability
power-grids
physics
long-range-dependencies
License:
Update README.md
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README.md
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- 100M<n<1B
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datasets:
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annotation_type: synthetic
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source_datasets: []
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# Kuramoto-Stability-Landscape (KSL)
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**Kuramoto-
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The data are designed as a benchmark for *graph-to-image regression* and for studying how Graph Neural Networks capture long-range dependencies that arise in real-world synchronisation problems such as power-grid dynamics.
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| Sub-dataset | # Graphs | Nodes / graph | Files | Heat-maps / file | Resolution |
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size_categories:
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- 100M<n<1B
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datasets:
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- name: KSL
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annotation_type: synthetic
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source_datasets: []
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task_categories:
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# Kuramoto-Stability-Landscape (KSL)
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**Kuramoto-Stability-Landscape (KSL)** provides per-node **basin-stability heat-maps** for two ensembles of second-order Kuramoto oscillator networks.
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The data are designed as a benchmark for *graph-to-image regression* and for studying how Graph Neural Networks capture long-range dependencies that arise in real-world synchronisation problems such as power-grid dynamics.
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| Sub-dataset | # Graphs | Nodes / graph | Files | Heat-maps / file | Resolution |
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