stellargraph/stellargraph: papers linking to it

GitHub · 3,064 stars · 441 forks · Python · license Apache-2.0 · created 2018 · github.com/stellargraph/stellargraph

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to stellargraph/stellargraph (https://github.com/stellargraph/stellargraph), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

9 papers in the tracked journals link to the GitHub repository stellargraph/stellargraph in their Crossref records, the first in 2021; most of them (2) in 2024.
By category: AI (6), Finance (1) and Information Systems (1); the journals with the most are Expert Systems with Applications (2), Neural Computing and Applications (2) and Data Mining and Knowledge Discovery (2).

By year#

20212026

Papers linking to stellargraph/stellargraph by publication year
Year	Papers
2021	1
2022	2
2023	2
2024	2
2025	1
2026	1

Journals#

Journals whose papers link to stellargraph/stellargraph most
Journal	Papers
Expert Systems with Applications	2
Neural Computing and Applications	2
Data Mining and Knowledge Discovery	2
European Actuarial Journal	1
International Journal of Information Management Data Insights	1

Papers linking to stellargraph/stellargraph, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-09-05	A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns	Expert Systems with Applications	Xianlei Fu, Maozhi Wu, Sasthikapreeya Ponnarasu et al.	98	cites it
2023-10-05	A causal-temporal graphic convolutional network (CT-GCN) approach for TBM load prediction in tunnel excavation	Expert Systems with Applications	Xianlei Fu, Yue Pan, Limao Zhang	68	cites it
2022-08-07	Detection of fake news campaigns using graph convolutional networks	International Journal of Information Management Data Insights	Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis	32	cites it
2023-12-06	An entity-guided text summarization framework with relational heterogeneous graph neural network	Neural Computing and Applications	Jingqiang Chen	12	cites it
2021-08-05	Link prediction in dynamic networks using random dot product graphs	Data Mining and Knowledge Discovery	Francesco Sanna Passino, Anna S. Bertiger, Joshua Neil et al.	10	cites it
2024-05-14	Network analytics for insurance fraud detection: a critical case study	European Actuarial Journal	Bruno Deprez, Félix Vandervorst, Wouter Verbeke et al.	8	cites it
2024-05-20	Multi-class vulnerability prediction using value flow and graph neural networks	Neural Computing and Applications	Connor McLaughlin, Yi Lu	6	cites it
2025-10-25	Real-time OD connection demand forecasting based on streaming temporal link prediction in dynamic graphs	Transportation Research Part C Emerging Technologies	Yibin Yang, Hao Li, Huizhao Tu	2	cites it
2026-08-04	Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection	Data Mining and Knowledge Discovery	Félix Vandervorst, Bruno Deprez, Wouter Verbeke et al.	1	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). stellargraph/stellargraph: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-stellargraph-stellargraph

@misc{scholar4ai-code-github-stellargraph-stellargraph,
  author = {{Scholar4AI}},
  title = {stellargraph/stellargraph: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-stellargraph-stellargraph}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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