---
title: "Graph learning benchmarks datasets"
description: "Datasets in the category “Graph learning benchmarks” were mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of the 58 data categories mentioned."
url: https://scholar4ai.com/datasets/graph-learning-benchmarks
markdown_url: https://scholar4ai.com/datasets/graph-learning-benchmarks.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Datasets in the category “Graph learning benchmarks” were mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of the 58 data categories mentioned."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T14:32:25+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Graph learning benchmarks

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

- 1 papers in the last 7 days
- 2 of its 3 datasets mentioned

Back to the ranking: https://scholar4ai.com/rankings/datasets.md

## Key findings

- Datasets in the category “Graph learning benchmarks” were mentioned in 7 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #40 of the 58 data categories mentioned.
- The most-mentioned were Cora / CiteSeer / PubMed (Planetoid) (6) and Open Graph Benchmark (2).
- By journal category: AI (6) and Operations Research (1).
- Most of them appeared in Journal of Heuristics (1), Expert Systems with Applications (1) and Artificial Intelligence (1).

## Datasets

*Datasets in this category · 2026-09-27 – 2026-10-26 (30 days)*

| Dataset | Papers | Last 7 days | Names searched for |
|---|---:|---:|---|
| Cora / CiteSeer / PubMed (Planetoid) | 6 | 1 | CiteSeer, Cora dataset, Cora citation, Planetoid, Cora |
| Open Graph Benchmark | 2 | 0 | Open Graph Benchmark, ogbn-arxiv, ogbn-products, ogbg-molhiv |
| Molecule benchmarks (QM9, ZINC, MUTAG) | 0 | 0 | QM9, ZINC250k, MUTAG, MoleculeNet, TUDataset |

## Papers

*Papers mentioning these datasets, newest first.*

| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-20 | [A new hierarchical matheuristic applied to the helicopter routing problems (HRP)](https://doi.org/10.1007/s10732-026-09609-1) | [Journal of Heuristics](https://scholar4ai.com/journals/journal-of-heuristics.md) | André Machado, Rodrigo Rosa, Hendrigo Venes et al. | Universidade Federal do Espírito Santo | Cora / CiteSeer / PubMed (Planetoid) |
| 2026-10-14 | [Multi-view aligned fused representation clustering network for unsupervised community detection](https://doi.org/10.1016/j.eswa.2026.134735) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Zhenquan Shi, Zeshuai Luo, Xiaotian Qu et al. | Nantong University | Cora / CiteSeer / PubMed (Planetoid) |
| 2026-10-08 | [Optimal any-angle path planning in static and dynamic environments](https://doi.org/10.1016/j.artint.2026.104642) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | Yiyuan Zou, Clark Borst | Delft University of Technology | Cora / CiteSeer / PubMed (Planetoid) |
| 2026-10-07 | [Decoding Working Memory Capacity from Gaze and Arousal Dynamics using Machine Learning](https://doi.org/10.1007/s12559-026-10664-w) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Saurabh Sharma, Atif Hassan, Rajlakshmi Guha | Indian Institute of Technology Kharagpur | Cora / CiteSeer / PubMed (Planetoid) |
| 2026-10-01 | [CL3AN-GNN: curriculum-driven for incremental feature disentanglement with multi-phase attention for class-imbalanced node classification](https://doi.org/10.1007/s00521-026-12579-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Abdul Joseph Fofanah, David Chen, Lian Wen et al. | Griffith University; Chang'an University; Njala University | Cora / CiteSeer / PubMed (Planetoid), Open Graph Benchmark |
| 2026-10-01 | [SURGE: Structural Perturbation Response Field Guided Residual Distillation for Graph Unlearning](https://doi.org/10.1007/s10994-026-07176-x) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Chaofan Shen, Min Wang, Jing Zhang | Southeast University | Open Graph Benchmark |
| 2026-10-01 | [Solving risk-aware HTN planning problems: algorithmic, formal, and empirical results](https://doi.org/10.1007/s10489-026-07450-4) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Ebaa Alnazer, Ilche Georgievski, Marco Aiello | University of Stuttgart | Cora / CiteSeer / PubMed (Planetoid) |

## Cite this page

Scholar4AI. (2026). Graph learning benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/graph-learning-benchmarks

```bibtex
@misc{scholar4ai-datasets-graph-learning-benchmarks,
  author = {{Scholar4AI}},
  title = {Graph learning benchmarks},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/graph-learning-benchmarks}},
  urldate = {2026-10-26},
  note = {Journal 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/).