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Datasets › IMDB-BINARY

IMDB-BINARY

Introduced by Pinar Yanardag et al. in Deep Graph Kernels1 Jan 2015 archive 2025-07-28

IMDB-BINARY is a movie collaboration dataset that consists of the ego-networks of 1,000 actors/actresses who played roles in movies in IMDB. In each graph, nodes represent actors/actress, and there is an edge between them if they appear in the same movie. These graphs are derived from the Action and Romance genres.

Source: A simple yet effective baseline for non-attributed graph classification

HomepageBenchmarksPapers JSON

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.

First row (archive order)PaperCode
Graph Classification IMDb-B U2GNN (Unsupervised) Accuracy 96.41% Universal Graph Transformer Self-Attention Networks daiquocnguyen/Graph-Transformer 51 Compare
Graph Classification IMDB-BINARY Local Topological Profile (LTP) Accuracy 74.5 ± 4.3 Strengthening structural baselines for graph... j-adamczyk/ltp 8 Compare

Papers archive 2025-07-28

30 shown of 48 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 326. 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
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring 1 4 6 Jun 2024 ran 7 of 9 samples (2 unverified)
An end-to-end attention-based approach for learning on graphs 1 1 16 Feb 2024 not harvested
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns 1 1 21 Dec 2023 ran 13 of 13 samples (0 unverified; 13 pointer-only for licence)
Graph-level Representation Learning with Joint-Embedding Predictive Architectures 1 1 27 Sep 2023 ran 10 of 11 samples (1 unverified)
Graph isomorphism UNet 1 1 23 Aug 2023 not harvested
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes 0 1 13 Aug 2023 not harvested
Strengthening structural baselines for graph classification using Local Topological Profile 1 2 1 May 2023 not harvested
Pure Transformers are Powerful Graph Learners 2 1 6 Jul 2022 ran 7 of 7 samples (0 unverified; 7 pointer-only for licence)
TREE-G: Decision Trees Contesting Graph Neural Networks 1 1 6 Jul 2022 ran 0 of 10 samples (10 unverified)
DiffWire: Inductive Graph Rewiring via the Lovász Bound 2 3 15 Jun 2022 not harvested
Template based Graph Neural Network with Optimal Transport Distances 1 1 31 May 2022 not harvested
Recipe for a General, Powerful, Scalable Graph Transformer 4 1 25 May 2022 ran 3 of 21 samples (18 unverified)
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks 1 1 11 Nov 2021 ran 0 of 3 samples (3 unverified)
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks 1 1 3 Jul 2021 ran 2 of 2 samples (0 unverified; 2 pointer-only for licence)
Do Transformers Really Perform Bad for Graph Representation? 5 1 9 Jun 2021 not harvested
How Attentive are Graph Attention Networks? 8 1 30 May 2021 ran 6 of 16 samples (10 unverified; 1 pointer-only for licence)
Accurate Learning of Graph Representations with Graph Multiset Pooling 1 1 23 Feb 2021 ran 4 of 5 samples (1 unverified; 5 pointer-only for licence)
Online Graph Dictionary Learning 1 1 12 Feb 2021 not harvested
Factorizable Graph Convolutional Networks 1 1 12 Oct 2020 ran 2 of 2 samples (0 unverified)
A Novel Higher-order Weisfeiler-Lehman Graph Convolution 1 1 1 Jul 2020 not harvested
Wasserstein Embedding for Graph Learning 1 1 16 Jun 2020 not harvested
Principal Neighbourhood Aggregation for Graph Nets 8 1 12 Apr 2020 ran 33 of 55 samples (22 unverified; 48 pointer-only for licence)
Segmented Graph-Bert for Graph Instance Modeling 1 1 9 Feb 2020 not harvested
A Fair Comparison of Graph Neural Networks for Graph Classification 5 1 20 Dec 2019 not harvested
Universal Graph Transformer Self-Attention Networks 1 2 26 Sep 2019 ran 4 of 4 samples (0 unverified)
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning 1 1 22 Sep 2019 not harvested
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization 5 1 31 Jul 2019 not harvested
Provably Powerful Graph Networks 2 1 27 May 2019 ran 0 of 8 samples (8 unverified)
Mutual Information Maximization in Graph Neural Networks 2 1 21 May 2019 not harvested
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification 1 2 11 May 2019 not harvested

The full list of 48 is in the JSON twin.

Dataset loaders archive 2025-07-28

pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.datasets.TUDataset.html#torch_geometric.datasets.TUDatasetpyg-team/pytorch_geometricpytorch
docs.dgl.ai/api/python/dgl.data.html#dgl.data.TUDatasetdmlc/dglpytorchtfmxnet
graphneural.network/datasets/#tudatasetdanielegrattarola/spektraltf

3 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Graph ClassificationGraph Representation Learning

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Graphs

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • IMDb-B
  • IMDB-BINARY

2 variant names, as the archive lists them.

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