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Datasets › IMDB-MULTI

IMDB-MULTI

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

IMDB-MULTI is a relational dataset that consists of a network of 1000 actors or actresses who played roles in movies in IMDB. A node represents an actor or actress, and an edge connects two nodes when they appear in the same movie. In IMDB-MULTI, the edges are collected from three different genres: Comedy, Romance and Sci-Fi.

Source: Learning metrics for persistence-based summaries and applications for graph classification

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 3 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-M U2GNN (Unsupervised) Accuracy 89.2% Universal Graph Transformer Self-Attention Networks daiquocnguyen/Graph-Transformer 36 Compare
Document Classification IMDb-M Document Classification Using Importance of Sentences Accuracy 54.8 Improving Document-Level Sentiment Classification Using... — 2 Compare
Graph Classification IMDB-MULTI Local Topological Profile (LTP) Accuracy 50.0 ± 4.6 Strengthening structural baselines for graph... j-adamczyk/ltp 1 Compare

Papers archive 2025-07-28

30 shown of 33 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 243. 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
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
Strengthening structural baselines for graph classification using Local Topological Profile 1 2 1 May 2023 not harvested
TREE-G: Decision Trees Contesting Graph Neural Networks 1 1 6 Jul 2022 ran 0 of 10 samples (10 unverified)
Template based Graph Neural Network with Optimal Transport Distances 1 1 31 May 2022 not harvested
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)
Improving Document-Level Sentiment Classification Using Importance of Sentences 0 1 9 Mar 2021 not harvested
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
Wasserstein Embedding for Graph Learning 1 1 16 Jun 2020 not harvested
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
Graph Representation Learning via Hard and Channel-Wise Attention Networks 1 1 5 Jul 2019 not harvested
Rethinking Complex Neural Network Architectures for Document Classification 1 1 1 Jun 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
Capsule Graph Neural Network 1 1 1 May 2019 not harvested
SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network 0 1 8 Apr 2019 not harvested
Rep the Set: Neural Networks for Learning Set Representations 1 1 3 Apr 2019 not harvested
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings 1 1 2 Apr 2019 ran 0 of 1 samples (1 unverified; 1 pointer-only for licence)
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity 1 2 1 Apr 2019 not harvested
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks 1 2 4 Oct 2018 not harvested
How Powerful are Graph Neural Networks? 19 1 1 Oct 2018 ran 3 of 10 samples (7 unverified; 5 pointer-only for licence)
When Work Matters: Transforming Classical Network Structures to Graph CNN 0 1 7 Jul 2018 not harvested

The full list of 33 is in the JSON twin.

Dataset loaders archive 2025-07-28

docs.dgl.ai/api/python/dgl.data.html#dgl.data.TUDatasetdmlc/dglpytorchtfmxnet
graphneural.network/datasets/#tudatasetdanielegrattarola/spektraltf

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

Tasks archive 2025-07-28

Graph ClassificationDocument ClassificationGraph Similarity

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-M
  • IMDB-MULTI

2 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections