Cora Network (GCN Benchmark)

AnalyzedSmallgraphCitation network

A Cora dataset of 2,708 nodes, 5,278 edges, 7 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. Cora network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.

#Bag of words#Cora#Graph neural network#Node classification

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,708 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2.7K
Nodes
5.3K
Edges
1.44e-03
Density
78
Components
-0.06587
Assortativity
0.0%
Reciprocity
518
Bridges
Most central nodes
3950.06206
17740.02881
16640.02734
3050.02401
19360.01625
9770.01552
21100.01478
20810.0133
24710.01256
22640.01219
Content metrics

2,708 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

labelavg 2.66 / 6
0std 1.826
feature countμ 18.174 ± 5.757
min 1max 30
is test10.0% true
true 10.0%false 90.0%
3.9
Flesch–Kincaid grade
US school grade level
5.4
Automated readability index
Frequent terms
117712635071209107577413211311328138149510716195407291230113211987631301969117013521118647126211381171911124972429211447238747588601351149701117472581412542031151133212741203211
Topic clusters

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Topic 165

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1117

Computed over the full corpus.

Record

Catalog key
gcn_cora
Authors
Yang, Zhilin; Cohen, William W.; Salakhutdinov, Ruslan
Year
2016
Source paper
Revisiting Semi-Supervised Learning with Graph Embeddings
DOI / arXiv
10.48550/arXiv.1603.08861
License
Academic Use (LicenseRef-Research-Only)
Records
2,708
Nodes
2,708
Edges
5,278
Nodes are
paper
Edges are
citation
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2016 (2010s)
Tasks
Node classification (multi-class; label) inferred
From the graph: link prediction, community detection

Provenance

Originally published at
https://github.com/kimiyoung/planetoid link checked
Hosted copy
Mirrored on echo.directory on 2026-10-16, 157.0 MB across 80 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{https://doi.org/10.48550/arxiv.1603.08861,
  doi       = {10.48550/ARXIV.1603.08861},
  url       = {https://arxiv.org/abs/1603.08861},
  author    = {Yang, Zhilin and Cohen, William W. and Salakhutdinov, Ruslan},
  keywords  = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title     = {Revisiting Semi-Supervised Learning with Graph Embeddings},
  publisher = {arXiv},
  year      = {2016},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Yang, Z., Cohen, W. W., & Salakhutdinov, R. (2016). Cora Network (GCN Benchmark) [Data set]. https://doi.org/10.48550/arXiv.1603.08861

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Yang, Zhilin, et al. Cora Network (GCN Benchmark). 2016, doi.org/10.48550/arXiv.1603.08861.

BibTeX · RIS · CSL-JSON

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