The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning
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Citations
Cites
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
UCI Machine Learning Repository
Asuncion, A. (2007) · Medical Entomology and Zoology · Cited by 24,156
(2012) · Encyclopedia of the Sciences of Learning · doi:10.1007/978-1-4419-1428-6_5195 · Cited by 19,370
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
Russell, E. L., Chiang, L. H., & Braatz, R. D. (2000) · Advances in Industrial Control · doi:10.1007/978-1-4471-0409-4_3 · Cited by 7,862
THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION
CONTE, D., FOGGIA, P., SANSONE, C., & VENTO, M. (2004) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001404003228 · Cited by 1,370
National Institute of Standards and Technology
(1990) · Analytical Chemistry · doi:10.1021/ac00210a736 · Cited by 1,314
Protein function prediction via graph kernels
Borgwardt, K. M., Ong, C. S., Schonauer, S., Vishwanathan, S. V. N., Smola, A. J., & Kriegel, H.-P. (2005) · Bioinformatics · doi:10.1093/bioinformatics/bti1007 · Cited by 1,105
BRENDA, the enzyme database: updates and major new developments
Schomburg, I. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh081 · Cited by 953
Robust analysis of feature spaces: color image segmentation
Comaniciu, D., & Meer, P. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1997.609410 · Cited by 683
Cited by
Survey of intrusion detection systems: Techniques, datasets and challenges
Khraisat, A., Gondal, I., Vamplew, P., & Kamruzzaman, J. (2019) · Cybersecurity · doi:10.1186/s42400-019-0038-7 · Cited by 2,024
Khraisat, A., & Alazab, A. (2021) · Cybersecurity · doi:10.1186/s42400-021-00077-7 · Cited by 508
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Bai, Y., Ding, H., Bian, S., Chen, T., Sun, Y., & Wang, W. (2019) · Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining · doi:10.1145/3289600.3290967 · Cited by 325
TUDataset: A collection of benchmark datasets for learning with graphs
Morris, C., Kriege, N. M., Bause, F., Kersting, K., Mutzel, P., & Neumann, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.08663 · Cited by 281
The Vapnik–Chervonenkis dimension of graph and recursive neural networks
Scarselli, F., Tsoi, A. C., & Hagenbuchner, M. (2018) · Neural Networks · doi:10.1016/j.neunet.2018.08.010 · Cited by 69
Metadata
- Authors
- Riesen, K., & Bunke, H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 287-297
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1492230849
- Cited by
- 498
- References
- 24
- FWCI
- 15.63
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning. https://app.cochat.ai/papers/10.1007/978-3-540-89689-0_33
- The paper
- Riesen, K., & Bunke, H. (2008). IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-540-89689-0_33
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
