Search results for "graph classification"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Ning Jin, Calvin Young, Wei Wang 0010	GAIA: graph classification using evolutionary computation.	SIGMOD Conference	2010	DBLP DOI BibTeX RDF	graph mining, graph classification
3	Xiangnan Kong, Philip S. Yu	Semi-supervised feature selection for graph classification.	KDD	2010	DBLP DOI BibTeX RDF	data mining, feature selection, semi-supervised learning, graph classification
3	Ning Jin, Calvin Young, Wei Wang 0010	Graph classification based on pattern co-occurrence.	CIKM	2009	DBLP DOI BibTeX RDF	graph mining, classification rule, graph classification
3	Romain Raveaux, Eugen Barbu, Hervé Locteau, Sébastien Adam, Pierre Héroux, Éric Trupin	A Graph Classification Approach Using a Multi-objective Genetic Algorithm Application to Symbol Recognition.	GbRPR	2007	DBLP DOI BibTeX RDF	graph dissimilarity measure, machine learning, multi-objective optimization, graph classification
3	H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jamal Fodeh, Pang-Ning Tan	A Probabilistic Substructure-Based Approach for Graph Classification.	ICTAI	2007	DBLP DOI BibTeX RDF	frequent subgraph mining, Maximum entropy, Graph classification
2	Hongliang Fei, Jun Huan	Boosting with structure information in the functional space: an application to graph classification.	KDD	2010	DBLP DOI BibTeX RDF	feature selection, boosting, semi-structured data, graph classification, L1 regularization
2	Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook	Faster computation of the direct product kernel for graph classification.	CIDM	2009	DBLP DOI BibTeX RDF
2	Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Cook	Empirical comparison of graph classification algorithms.	CIDM	2009	DBLP DOI BibTeX RDF
2	Andreas Fischer, Kaspar Riesen, Horst Bunke	An experimental study of graph classification using prototype selection.	ICPR	2008	DBLP DOI BibTeX RDF
2	Hongliang Fei, Jun Huan	Structure feature selection for graph classification.	CIKM	2008	DBLP DOI BibTeX RDF	data mining, classification, feature selection
2	Eugen Barbu, Romain Raveaux, Hervé Locteau, Sébastien Adam, Pierre Héroux, Éric Trupin	Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition.	ICPR	2006	DBLP DOI BibTeX RDF
1	Xiangnan Kong, Philip S. Yu	gMLC: a multi-label feature selection framework for graph classification.	Knowl. Inf. Syst.	2012	DBLP DOI BibTeX RDF
1	Koji Tsuda	Graph Classification Methods in Chemoinformatics.	Handbook of Statistical Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Yuchen Zhao, Xiangnan Kong, Philip S. Yu	Positive and Unlabeled Learning for Graph Classification.	ICDM	2011	DBLP DOI BibTeX RDF
1	Xiangnan Kong, Wei Fan, Philip S. Yu	Dual active feature and sample selection for graph classification.	KDD	2011	DBLP DOI BibTeX RDF
1	Aaron M. Smalter, Jun Huan, Yi Jia, Gerald H. Lushington	GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics.	IEEE/ACM Trans. Comput. Biology Bioinform.	2010	DBLP DOI BibTeX RDF
1	Koji Tsuda, Hiroto Saigo	Graph Classification.	Managing and Mining Graph Data	2010	DBLP DOI BibTeX RDF
1	Xiangnan Kong, Philip S. Yu	Multi-label Feature Selection for Graph Classification.	ICDM	2010	DBLP DOI BibTeX RDF
1	Qian Xu, Derek Hao Hu, Hong Xue, Qiang Yang	Predicting chemical activities from structures by attributed molecular graph classification.	CIBCB	2010	DBLP DOI BibTeX RDF
1	Nguyen Duy Vinh, Akihiro Inokuchi, Takashi Washio	Graph Classification Based on Optimizing Graph Spectra.	Discovery Science	2010	DBLP DOI BibTeX RDF
1	Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda	gBoost: a mathematical programming approach to graph classification and regression.	Machine Learning	2009	DBLP DOI BibTeX RDF
1	Kaspar Riesen, Horst Bunke	Graph Classification Based on Vector Space Embedding.	IJPRAI	2009	DBLP DOI BibTeX RDF
1	Kaspar Riesen, Horst Bunke	Graph Classification by Means of Lipschitz Embedding.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2009	DBLP DOI BibTeX RDF
1	Brian Quanz, Jun Huan	Aligned Graph Classification with Regularized Logistic Regression.	SDM	2009	DBLP BibTeX RDF
1	Kaspar Riesen, Volkmar Frinken, Horst Bunke	Improving Graph Classification by Isomap.	GbRPR	2009	DBLP DOI BibTeX RDF
1	Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald H. Lushington	G-hash: towards fast kernel-based similarity search in large graph databases.	EDBT	2009	DBLP DOI BibTeX RDF	k-NNs search, graph similarity query, hashing, graph kernels, graph classification
1	Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou	FOGGER: an algorithm for graph generator discovery.	EDBT	2009	DBLP DOI BibTeX RDF	graph mining, graph classification, graph generator
1	Ralitsa Angelova, Gjergji Kasneci, Fabian M. Suchanek, Gerhard Weikum	Graffiti: node labeling in heterogeneous networks.	WWW	2009	DBLP DOI BibTeX RDF	web 2.0 ir, graph classification
1	Wan-Jui Lee, Robert P. W. Duin	A Labelled Graph Based Multiple Classifier System.	MCS	2009	DBLP DOI BibTeX RDF
1	Horst Bunke, Kaspar Riesen	Graph Classification on Dissimilarity Space Embedding.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
1	Horst Bunke, Kaspar Riesen	Graph Classification Based on Dissimilarity Space Embedding.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
1	Horst Bunke, Kaspar Riesen	Recent Developments in Graph Classification and Clustering using Graph Embedding Kernels.	PRIS	2008	DBLP BibTeX RDF
1	Collin Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven	Argument graph classification with Genetic Programming and C4.5.	EDM	2008	DBLP BibTeX RDF
1	Hongliang Fei, Jun Huan	Structure feature selection for chemical compound classification.	BIBE	2008	DBLP DOI BibTeX RDF
1	Aaron M. Smalter, Jun Huan, Gerald H. Lushington	GPM: A graph pattern matching kernel with diffusion for chemical compound classification.	BIBE	2008	DBLP DOI BibTeX RDF
1	Hsun-Hsien Chang, José M. F. Moura, Yijen L. Wu, Chien Ho	Automatic Detection of Regional Heart Rejection in USPIO-Enhanced MRI.	IEEE Trans. Med. Imaging	2008	DBLP DOI BibTeX RDF
1	Guido Del Vescovo, Antonello Rizzi	Online Handwriting Recognition by the Symbolic Histograms Approach.	GrC	2007	DBLP DOI BibTeX RDF
1	Horst Bunke, Kaspar Riesen	A Family of Novel Graph Kernels for Structural Pattern Recognition.	CIARP	2007	DBLP DOI BibTeX RDF
1	Kaspar Riesen, Vivian Kilchherr, Horst Bunke	Reducing the Dimensionality of Vector Space Embeddings of Graphs.	MLDM	2007	DBLP DOI BibTeX RDF
1	Michel Neuhaus, Kaspar Riesen, Horst Bunke	Fast Suboptimal Algorithms for the Computation of Graph Edit Distance.	SSPR/SPR	2006	DBLP DOI BibTeX RDF
1	Taku Kudo, Eisaku Maeda, Yuji Matsumoto	An Application of Boosting to Graph Classification.	NIPS	2004	DBLP BibTeX RDF
1	Michel Neuhaus, Horst Bunke	A Probabilistic Approach to Learning Costs for Graph Edit Distance.	ICPR	2004	DBLP DOI BibTeX RDF
1	Miguel Angel Lozano, Francisco Escolano	Structural Recognition with Kernelized Softassign.	IBERAMIA	2004	DBLP DOI BibTeX RDF
1	Peter Geibel, Kristina Schädler, Fritz Wysotzki	Connectionist construction of prototypes from decision trees for graph classification.	Intell. Data Anal.	2003	DBLP BibTeX RDF
1	Maurizio Pizzonia, Giuseppe Di Battista	Object-Oriented Design of Graph Oriented Data Structures.	ALENEX	1999	DBLP DOI BibTeX RDF