Datasets › PATTERN

PATTERN

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

PATTERN is a node classification tasks generated with Stochastic Block Models, which is widely used to model communities in social networks by modulating the intra- and extra-communities connections, thereby controlling the difficulty of the task. PATTERN tests the fundamental graph task of recognizing specific predetermined subgraphs.

Source: Benchmarking Graph Neural Networks

Benchmarks archive 2025-07-28

All 1 leaderboard 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.

First row (archive order)PaperCode
Node Classification PATTERN CKGCN Accuracy 88.661 CKGConv: General Graph Convolution with Continuous Kernels networkslab/ckgconv 11 Compare

Papers archive 2025-07-28

11 shown of 11 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 153. 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
Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence 1 1 13 Feb 2025 ran 4 of 12 samples (8 unverified)
Learning Long Range Dependencies on Graphs via Random Walks 1 1 5 Jun 2024 ran 13 of 13 samples (0 unverified)
CKGConv: General Graph Convolution with Continuous Kernels 1 1 21 Apr 2024 ran 8 of 11 samples (3 unverified; 11 pointer-only for licence)
Topology-Informed Graph Transformer 2 1 3 Feb 2024 ran 14 of 21 samples (7 unverified; 21 pointer-only for licence)
Graph Transformers without Positional Encodings 0 1 31 Jan 2024 not harvested
Graph Inductive Biases in Transformers without Message Passing 2 1 27 May 2023 ran 6 of 12 samples (6 unverified)
Graph Propagation Transformer for Graph Representation Learning 1 1 19 May 2023 ran 4 of 8 samples (4 unverified; 8 pointer-only for licence)
Exphormer: Sparse Transformers for Graphs 1 1 10 Mar 2023 ran 1 of 1 samples (0 unverified)
Recipe for a General, Powerful, Scalable Graph Transformer 4 1 25 May 2022 ran 3 of 21 samples (18 unverified)
Global Self-Attention as a Replacement for Graph Convolution 3 1 7 Aug 2021 ran 0 of 4 samples (4 unverified)
Benchmarking Graph Neural Networks 15 1 2 Mar 2020 ran 1 of 23 samples (22 unverified)

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

  • PATTERN

1 variant name, as the archive lists them.

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