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COLLAB

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

COLLAB is a scientific collaboration dataset. A graph corresponds to a researcher’s ego network, i.e., the researcher and its collaborators are nodes and an edge indicates collaboration between two researchers. A researcher’s ego network has three possible labels, i.e., High Energy Physics, Condensed Matter Physics, and Astro Physics, which are the fields that the researcher belongs to. The dataset has 5,000 graphs and each graph has label 0, 1, or 2.

Source: 1 Introduction

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 COLLAB U2GNN (Unsupervised) Accuracy 95.62% Universal Graph Transformer Self-Attention Networks daiquocnguyen/Graph-Transformer 39 Compare
Link Prediction COLLAB GatedGCN-PE Hits 52.849 Benchmarking Graph Neural Networks graphdeeplearning/benchmarking-gnns +14 1 Compare

Papers archive 2025-07-28

30 shown of 31 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 259. 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)
Strengthening structural baselines for graph classification using Local Topological Profile 1 1 1 May 2023 not harvested
DiffWire: Inductive Graph Rewiring via the Lovász Bound 2 4 15 Jun 2022 not harvested
Template based Graph Neural Network with Optimal Transport Distances 1 1 31 May 2022 not harvested
GraphMAE: Self-Supervised Masked Graph Autoencoders 3 1 22 May 2022 ran 2 of 3 samples (1 unverified; 3 pointer-only for licence)
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)
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)
Factorizable Graph Convolutional Networks 1 1 12 Oct 2020 ran 2 of 2 samples (0 unverified)
Wasserstein Embedding for Graph Learning 1 1 16 Jun 2020 not harvested
Benchmarking Graph Neural Networks 15 1 2 Mar 2020 ran 1 of 23 samples (22 unverified)
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
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling 1 1 24 Oct 2019 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
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
A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks 0 1 7 Sep 2019 not harvested
Graph Representation Learning via Hard and Channel-Wise Attention Networks 1 1 5 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
Graph U-Nets 3 1 11 May 2019 ran 3 of 4 samples (1 unverified; 2 pointer-only for licence)
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification 1 2 11 May 2019 not harvested
Understanding Attention and Generalization in Graph Neural Networks 2 1 8 May 2019 not harvested
Capsule Graph Neural Network 1 1 1 May 2019 not harvested
Fast Graph Representation Learning with PyTorch Geometric 6 1 6 Mar 2019 ran 0 of 2 samples (2 unverified)
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
Hierarchical Graph Representation Learning with Differentiable Pooling 14 1 22 Jun 2018 ran 1 of 20 samples (19 unverified)
An End-to-End Deep Learning Architecture for Graph Classification 2 2 29 Apr 2018 not harvested
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model 0 1 10 Dec 2017 not harvested
Graph Classification with 2D Convolutional Neural Networks 0 1 29 Jul 2017 not harvested

The full list of 31 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

Link PredictionGraph Classification

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

  • COLLAB

1 variant name, as the archive lists them.

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