---
title: "Cora / CiteSeer / PubMed (Planetoid): tasks and access"
description: "Cora / CiteSeer / PubMed (Planetoid): compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends."
url: https://scholar4ai.com/datasets/cora-citeseer-pubmed-planetoid
markdown_url: https://scholar4ai.com/datasets/cora-citeseer-pubmed-planetoid.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Cora / CiteSeer / PubMed (Planetoid): compare tasks, official access, usage conditions and evaluation. Includes research-paper mention counts and trends. (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# Cora / CiteSeer / PubMed (Planetoid)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.md)

Citation, molecule and other graphs used to compare graph neural networks.

- data category: Graph learning benchmarks
- 0 papers in the last 7 days
- Names searched for: Cora dataset, Cora citation, Planetoid, CiteSeer dataset, Citeseer citation, Cora, CiteSeer

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Graph learning benchmarks datasets: https://scholar4ai.com/datasets/graph-learning-benchmarks.md

## Tasks, access and usage conditions

Mention counts below measure name matches in tracked papers, not benchmark quality or downloads. A family count can cover multiple datasets; it is not a separate count for each comparison row. Choose a task and version first, preserve evaluation splits, and follow the linked release terms. The site's content license does not replace the datasets' own terms.

*Dataset comparison: tasks, access and usage conditions*

| Dataset / version | Task and evaluation | Access and preparation | Usage conditions |
|---|---|---|---|
| Cora / CiteSeer / PubMed — Planetoid splits | Node classification in citation graphs. Evaluation: State transductive or inductive access, features and splits. Test-node features/edges may be visible in transductive learning, but test labels must not train the model. | [Official source / documentation](https://github.com/kimiyoung/planetoid) Use the authors’ processed files and label masks; identify the dataset and public/fixed versus random split. | The repository’s software license does not automatically relicense every underlying citation/text source; retain original dataset notices. |

Guide updated 2026-11-05.

## Key findings

- From Nov 2023 to Oct 2026, 105 archived papers mentioned Cora / CiteSeer / PubMed (Planetoid) in their title, abstract, keywords or full text, most of them in Jan 2025 (6).
- No paper of the tracked journals mentioned Cora / CiteSeer / PubMed (Planetoid) in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), Cora / CiteSeer / PubMed (Planetoid) was mentioned in 113 papers in the tracked journals, most of them in AI (104), information systems (6) and operations research (2).
- 41 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Shanghai Jiao Tong University (5), Griffith University (4) and Hong Kong Polytechnic University (4).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (16), IEEE Transactions on Knowledge and Data Engineering (15) and IEEE Transactions on Neural Networks and Learning Systems (12).
- The most-cited of them is “Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure” (IEEE Transactions on Knowledge and Data Engineering, 2019), with 234 citations.
- Papers use Cora / CiteSeer / PubMed (Planetoid) most often with Open Graph Benchmark (25), Wikipedia (17) and Reddit (16); it has 14 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts, keywords and full texts)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 37 | 41 | 27 | 105 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 1 | 2 | 0 | 0 | 1 | 8 | 34 | 37 | 21 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 0 | 2 | 2 | 0 | 0 | 1 | 9 | 36 | 41 | 22 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 16 |
| 2 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 15 |
| 3 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 12 |
| 4 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 8 |
| 5 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 8 |
| 6 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 7 |
| 7 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 5 |
| 8 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 5 |
| 9 | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | 4 |
| 10 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 4 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 5 |
| 2 | [Griffith University](https://scholar4ai.com/institutions/griffith-university.md) | 4 |
| 3 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 4 |
| 4 | [Macquarie University](https://scholar4ai.com/institutions/macquarie-university.md) | 4 |
| 5 | [National University of Defense Technology](https://scholar4ai.com/institutions/national-university-of-defense-technology.md) | 4 |
| 6 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 4 |
| 7 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 4 |
| 8 | [Amazon (United States)](https://scholar4ai.com/companies/amazon-united-states.md) | 3 |
| 9 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 3 |
| 10 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 58 |
| 2 | United States | 19 |
| 3 | Australia | 18 |
| 4 | Hong Kong | 10 |
| 5 | India | 8 |
| 6 | Italy | 8 |
| 7 | United Kingdom | 7 |
| 8 | South Korea | 5 |
| 9 | Singapore | 5 |
| 10 | Iran | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 56 |
| 2 | node classification | 27 |
| 3 | [graph convolutional networks](https://scholar4ai.com/keywords/graph-convolutional-networks.md) | 11 |
| 4 | over-smoothing | 11 |
| 5 | node embeddings | 10 |
| 6 | link prediction | 9 |
| 7 | message passing | 9 |
| 8 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 8 |
| 9 | graph representation learning | 8 |
| 10 | large-scale graphs | 7 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 234 | 2.8 | [Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure](https://doi.org/10.1109/tkde.2019.2957786) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2019-12-05 | Fuli Feng, Xiangnan He, Jie Tang et al. |
| 2 | 84 | 1.9 | [Echo state graph neural networks with analogue random resistive memory arrays](https://doi.org/10.1038/s42256-023-00609-5) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2023-02-13 | Shaocong Wang, Yi Li, Dingchen Wang et al. |
| 3 | 70 | 0.7 | [A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation](https://doi.org/10.1109/tnnls.2018.2817245) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2018-04-13 | Xiaoyan Cai, Junwei Han, Wenjie Li et al. |
| 4 | 41 | 1.6 | [A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications](https://doi.org/10.1109/tkde.2024.3454328) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2024-09-24 | Yi Zhang, Yuying Zhao, Zhaoqing Li et al. |
| 5 | 38 | 1.3 | [Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification](https://doi.org/10.1016/j.eswa.2024.124602) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2024-06-28 | Abdul Joseph Fofanah, David Chen, Lian Wen et al. |

## Used together with

Papers use Cora / CiteSeer / PubMed (Planetoid) most often with Open Graph Benchmark (25), Wikipedia (17) and Reddit (16); it has 14 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

*What papers use Cora / CiteSeer / PubMed (Planetoid) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Open Graph Benchmark](https://scholar4ai.com/datasets/open-graph-benchmark.md) | Dataset | 25 | 115.0 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 17 | 7.1 |
| [Reddit](https://scholar4ai.com/datasets/reddit.md) | Dataset | 16 | 11.2 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 13 | 1.8 |
| [Molecule benchmarks (QM9, ZINC, MUTAG)](https://scholar4ai.com/datasets/molecule-benchmarks-qm9-zinc-mutag.md) | Dataset | 9 | 35.3 |
| [Amazon reviews](https://scholar4ai.com/datasets/amazon-reviews.md) | Dataset | 8 | 14.2 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 8 | 1.4 |
| [Weibo](https://scholar4ai.com/datasets/weibo.md) | Dataset | 5 | 4.2 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 4 | 7.2 |
| [Location and social recommendation data (Gowalla, Foursquare, Yelp…](https://scholar4ai.com/datasets/location-and-social-recommendation-data-gowalla-foursquare-yelp-epinions.md) | Dataset | 4 | 8.1 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 4 | 0.4 |
| [Yelp](https://scholar4ai.com/datasets/yelp.md) | Dataset | 4 | 4.6 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). Cora / CiteSeer / PubMed (Planetoid). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/cora-citeseer-pubmed-planetoid

```bibtex
@misc{scholar4ai-datasets-cora-citeseer-pubmed-planetoid,
  author = {{Scholar4AI}},
  title = {Cora / CiteSeer / PubMed (Planetoid)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/cora-citeseer-pubmed-planetoid}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).