Datasets › CSL

CSL

Introduced by Vijay Prakash Dwivedi et al. in Benchmarking Graph Neural Networks2 Mar 2020 archive 2025-07-28

CSL is a synthetic dataset introduced in Murphy et al. (2019) to test the expressivity of GNNs. In particular, graphs are isomorphic if they have the same degree and the task is to classify non-isomorphic graphs.

Source: Benchmarking Graph Neural Networks

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 34. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
TextBox 2.0: A Text Generation Library with Pre-trained Language Models 1 1 26 Dec 2022 ran 1 of 1 samples (0 unverified)
Weisfeiler and Lehman Go Cellular: CW Networks 2 1 23 Jun 2021 not harvested

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CSL

1 variant name, as the archive lists them.

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