WebKB Wisconsin WebKB (GCN Benchmark)

A WebKB wisconsin dataset of 265 web pages, 479 hyperlinks, collected by Yang et al. (ICML 2016). Each record contains web page features, hyperlink edges, class labels. WebKB wisconsin university web page classification dataset. Suitable for node classification, web page categorization, graph neural networks.

#Graph neural network#Hyperlink#Node classification#University

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Analytics

The interactive network needs JavaScript.

· graph.json

Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

265
Nodes
479
Edges
1.37e-02
Density
8
Components
-0.1842
Assortativity
0.0%
Reciprocity
79
Bridges
Most central nodes
1780.4621
1160.07576
1790.05682
470.04924
2440.04545
1580.04167
230.04167
1660.03788
1830.03788
1960.03788
Content metrics

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

labelavg 1.45 / 4
0std 1.104
feature countμ 96.147 ± 65.101
min 1max 419
is test10.2% true
true 10.2%false 89.8%
4.4
Flesch–Kincaid grade
US school grade level
3.3
Automated readability index
Frequent terms
142115257228365149154164364270325303557147236237114243152226739386116267292389181816328264141185405136655130135902105109700120126923735210294433144163
Topic clusters

Topic 0

45
33
57
32
23
15
48
78

Topic 1

257
365
142
389
292
386
325
270

Topic 2

365
325
386
43
142
389
115
257

Topic 3

739
365
257
735
557
142
816
364

Topic 4

923
902
739
816
1309
557
1472
1130

Topic 5

15
217
201
147
154
170
115
142

Topic 6

284
553
407
198
478
50
462
152

Topic 7

454
735
364
655
650
365
228
700

Topic 8

185
41
270
152
280
236
284
47

Topic 9

15
45
223
228
243
201
115
236

Topic 10

149
90
134
112
126
24
109
130

Computed over the full corpus.

Record

Catalog key
gcn_webkb_wisconsin
Authors
Craven, Mark; DiPasquo, Dan; Freitag, Dayne; McCallum, Andrew; Mitchell, Tom; Nigam, Kamal; Slattery, Seán
Year
2000
Source paper
Learning to construct knowledge bases from the World Wide Web
DOI / arXiv
10.1016/s0004-3702(00)00004-7
License
Academic Use (LicenseRef-Research-Only)
Records
265
Nodes
265
Edges
479
Nodes are
web page
Edges are
hyperlink
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
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://github.com/kimiyoung/planetoid link checked
Hosted copy
Mirrored on echo.directory on 2026-10-09, 23.1 MB across 80 files. Checksums in MANIFEST.json.

Citations

Learning to construct knowledge bases from the World Wide Web
M. Craven, Dan DiPasquo, Dayne Freitag, Andrew Mccallum, Tom Michael Mitchell
Journal Article · Artificial Intelligence · 2000

565
citations
well cited
27
influential citations
5% of all citations

Cited by

Show all 10

Citation data from Semantic Scholar, retrieved 2026-10-22.

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}
}

@article{Craven_2000,
  title     = {Learning to construct knowledge bases from the World Wide Web},
  volume    = {118},
  issn      = {0004-3702},
  url       = {http://dx.doi.org/10.1016/s0004-3702(00)00004-7},
  doi       = {10.1016/s0004-3702(00)00004-7},
  number    = {1-2},
  journal   = {Artificial Intelligence},
  publisher = {Elsevier BV},
  author    = {Craven, Mark and DiPasquo, Dan and Freitag, Dayne and McCallum, Andrew and Mitchell, Tom and Nigam, Kamal and Slattery, Seán},
  year      = {2000},
  month     = Apr,
  pages     = {69–113}
}

APA

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

Craven, M., DiPasquo, D., Freitag, D., McCallum, A., Mitchell, T., Nigam, K., & Slattery, S. (2000). WebKB Wisconsin WebKB (GCN Benchmark) [Data set]. https://doi.org/10.1016/s0004-3702(00)00004-7

MLA

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

Craven, Mark, et al. WebKB Wisconsin WebKB (GCN Benchmark). 2000, doi.org/10.1016/s0004-3702(00)00004-7.

BibTeX · RIS · CSL-JSON

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