Graph learning benchmarks
Citation, molecule and other graphs used to compare graph neural networks.
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
| 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 |
| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-20 | A new hierarchical matheuristic applied to the helicopter routing problems (HRP) | Journal of Heuristics | 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 | Expert Systems with Applications | 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 | Artificial Intelligence | 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 | Cognitive Computation | 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 | Neural Computing and Applications | 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 | Machine Learning | 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 | Applied Intelligence | 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
@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}
}