Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Protein function prediction via graph kernels
Bioinformatics
Graph-Theoretic Techniques for Web Content Mining
Graph-Theoretic Techniques for Web Content Mining
2005 Speical Issue: Graph kernels for chemical informatics
Neural Networks - Special issue on neural networks and kernel methods for structured domains
A Graph-Theoretic Approach to Enterprise Network Dynamics (Progress in Computer Science and Applied Logic (PCS))
Bridging the Gap Between Graph Edit Distance and Kernel Machines
Bridging the Gap Between Graph Edit Distance and Kernel Machines
A family of novel graph kernels for structural pattern recognition
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Report on the second symbol recognition contest
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Feature selection for graph-based image classifiers
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
A graph matching based approach to fingerprint classification using directional variance
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Manifold Learning for Multi-classifier Systems via Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
When Semi-supervised Learning Meets Ensemble Learning
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
A Recursive Embedding Approach to Median Graph Computation
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Graph Matching Based on Node Signatures
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
A Structural and Semantic Probabilistic Model for Matching and Representing a Set of Graphs
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Improving Graph Classification by Isomap
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
On the Computation of the Common Labelling of a Set of Attributed Graphs
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Comparing graph similarity measures for graphical recognition
GREC'09 Proceedings of the 8th international conference on Graphics recognition: achievements, challenges, and evolution
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
A comparison between two representatives of a set of graphs: median vs. barycenter graph
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Graduated assignment algorithm for finding the common labelling of a set of graphs
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Graph embedding based on nodes attributes representatives and a graph of words representation
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Extracting plane graphs from images
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Elkan's k-means algorithm for graphs
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Graph embedding using constant shift embedding
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Computer Vision and Image Understanding
Learning graph prototypes for shape recognition
Computer Vision and Image Understanding
Models and algorithms for computing the common labelling of a set of attributed graphs
Computer Vision and Image Understanding
A generic framework for median graph computation based on a recursive embedding approach
Computer Vision and Image Understanding
Graph indexing and retrieval based on median graphs
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Improving vector space embedding of graphs through feature selection algorithms
Pattern Recognition
Dimensionality reduction for graph of words embedding
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Maximum likelihood for gaussians on graphs
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Generalized learning graph quantization
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Parallel graduated assignment algorithm for multiple graph matching based on a common labelling
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Exploration of the labelling space given graph edit distance costs
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Vocabulary selection for graph of words embedding
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A probabilistic framework to obtain a common labelling between attributed graphs
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Multiple classifiers for graph of words embedding
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A new graph matching method for point-set correspondence using the EM algorithm and Softassign
Computer Vision and Image Understanding
Towards the unification of structural and statistical pattern recognition
Pattern Recognition Letters
Selecting structural base classifiers for graph-based multiple classifier systems
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Graph embedding in vector spaces by node attribute statistics
Pattern Recognition
Invariants of distance k-graphs for graph embedding
Pattern Recognition Letters
Feature selection on node statistics based embedding of graphs
Pattern Recognition Letters
Maximum likelihood method for parameter estimation of bell-shaped functions on graphs
Pattern Recognition Letters
Faster subgraph isomorphism detection by well-founded total order indexing
Pattern Recognition Letters
Two new graphs kernels in chemoinformatics
Pattern Recognition Letters
Pattern Recognition Letters
On graph-associated matrices and their eigenvalues for optical character recognition
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
A comparison between structural and embedding methods for graph classification
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Improving fuzzy multilevel graph embedding through feature selection technique
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Graph database retrieval based on metric-trees
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Component retrieval based on a database of graphs for Hand-Written Electronic-Scheme Digitalisation
Expert Systems with Applications: An International Journal
Discriminative prototype selection methods for graph embedding
Pattern Recognition
Polynomial algorithms for open plane graph and subgraph isomorphisms
Theoretical Computer Science
A new proposal for graph classification using frequent geometric subgraphs
Data & Knowledge Engineering
Graph-based retrieval of building information models for supporting the early design stages
Advanced Engineering Informatics
Spectral graph features for the classification of graphs and graph sequences
Computational Statistics
Optimized dissimilarity space embedding for labeled graphs
Information Sciences: an International Journal
Measuring similarity of graph nodes by neighbor matching
Intelligent Data Analysis
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In recent years the use of graph based representation has gained popularity in pattern recognition and machine learning. As a matter of fact, object representation by means of graphs has a number of advantages over feature vectors. Therefore, various algorithms for graph based machine learning have been proposed in the literature. However, in contrast with the emerging interest in graph based representation, a lack of standardized graph data sets for benchmarking can be observed. Common practice is that researchers use their own data sets, and this behavior cumbers the objective evaluation of the proposed methods. In order to make the different approaches in graph based machine learning better comparable, the present paper aims at introducing a repository of graph data sets and corresponding benchmarks, covering a wide spectrum of different applications.