Huawei Telecom Heterogeneous Graph

A Huawei telecom network (anonymized carrier data) dataset of 170,380 nodes (100,000 users, 1,000 apps, 380 packages) and 2,000,000 directed edges, collected by Huawei Global Technology Services (anonymized, 2021). Each record contains user ID, app ID, package ID, cell ID; edge types: user-buy-package and user-use-app; normalized float feature vectors per node [0,1]. Heterogeneous graph from a real telecom carrier with 4 node types (user, app, package, cell) and 2 edge types — one of the few publicly available large-scale telecom behavioral graphs for research.. Suitable for heterogeneous graph neural networks, telecom network analysis, graph algorithm benchmarking, user behavior modeling in carrier networks.

#Heterogeneous graph#Huawei#Mobile app#Telecom

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· graph.json

The full graph has 170,380 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

170.4K
Nodes
2M
Edges
6.89e-05
Density
69K
Components
0.0%
Reciprocity
0
Bridges
Most central nodes
p_00.02935
p_10.02935
p_100.02935
p_1000.02935
p_1010.02935
p_1020.02935
p_1030.02935
p_1040.02935
p_1050.02935
p_1060.02935
Content metrics

1,000 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

app feat 0μ 0.496 ± 0.291
min 0.001max 0.999
low 33%medium 34%high 33%
app feat 1μ 0.502 ± 0.29
min 0.002max 1
low 33%medium 34%high 33%
app feat 2μ 0.503 ± 0.291
min 0.001max 0.998
low 33%medium 34%high 33%
app feat 3μ 0.516 ± 0.291
min 0max 1
low 33%medium 34%high 33%
app feat 4μ 0.51 ± 0.28
min 0max 0.999
low 33%medium 34%high 33%

Computed over the full corpus.

Record

Catalog key
telecom-graph
Authors
Huawei Technologies Co., Ltd.; Global Technology Services
Year
2021
Source paper
Telecom Graph: A Heterogeneous Graph Benchmark for Telecom Networks
License
CC BY-NC-SA 4.0 (CC-BY-NC-SA-4.0)
Records
170,380
Nodes
170,380
Edges
2,000,000 (directed)
Nodes are
user / app / package / cell
Edges are
buy / use
Attributes
nodes have attributes; edges have attributes
Languages
en, zh
Collected
2021 (2020s)
Tasks
From the graph: link prediction, community detection

Provenance

Originally published at
https://github.com/huawei-noah/benchmark link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 10.2 GB across 3 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{huawei_telecom_graph,
  title        = {Telecom Graph: A Heterogeneous Graph Benchmark for Telecom Networks},
  author       = {{Huawei Technologies Co., Ltd.}},
  year         = {2021},
  howpublished = {\url{https://github.com/huawei-noah/benchmark}}
}

APA

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

Huawei Technologies Co., Ltd., & Global Technology Services (2021). Huawei Telecom Heterogeneous Graph [Data set]. https://telecom-graph.echo.directory/

MLA

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

Huawei Technologies Co., Ltd., and Global Technology Services. Huawei Telecom Heterogeneous Graph. 2021, telecom-graph.echo.directory/.

BibTeX · RIS · CSL-JSON

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