CiteSeer Network (GCN Benchmark)
A CiteSeer dataset of 3,327 nodes, 4,676 edges, 6 classes, collected by Yang et al. (ICML 2016). Each record contains node features, citation edges, class labels. CiteSeer network with bag-of-words features. Suitable for node classification, semi-supervised learning, graph neural networks.
Cite this dataset at
gcn-citeseer.echo.directory
Analytics
The interactive network needs JavaScript.
The full graph has 3,327 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
3.3K
Nodes
4.7K
Edges
8.45e-04
Density
438
Components
0.04966
Assortativity
0.0%
Reciprocity
1.4K
Bridges
feature countμ 31.61 ± 6.328
min 0max 54
is test10.0% true
true 10.0%false 90.0%
4.4
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
7296011681623169731816123980818688052143161375210212748659951618179716510118781842253920851611151617756512131987147118465792008311620917699163463795011024941812442472563553
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Computed over the full corpus.
Record
- Catalog key
gcn_citeseer- 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
- 3,327
- Nodes
- 3,327
- Edges
- 4,676
- 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, 488.3 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). CiteSeer 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. CiteSeer Network (GCN Benchmark). 2016, doi.org/10.48550/arXiv.1603.08861.