13.3.6 Subgraph Isomorphism, Common Subgraphs, Subgraph Matching

Ullmann, J.R.,
An Algorithm for Subgraph Isomorphism,
JACM(23), No. 1, January 1976, pp. 31-42. Graph Isomorphism.
See also Use of Continutiy in Character Recognition, A. BibRef 7601

Ullmann, J.R.,
Associating Parts of Patterns,
InfoControl(9), 1966, pp. 583-601. Abstract formulation of discrete relaxation. BibRef 6600

Ullmann, J.R.[Julian R.],
Bit-vector Algorithms for Binary Constraint Satisfaction and Subgraph Isomorphism,
JEA(15), No. 1, January 2011, Article 1.6.
PDF File. Relaxation. Constraint Satisfaction. Constraint satisfaction. Binary constraints. Relaxation BibRef 1101

Ullmann, J.R.[Julian R.],
Degree Reduction in Labeled Graph Retrieval,
JEA(20), No. 5, May 2015, Article 1.3.
DOI Link 1506
degree reduction employs discrete relaxation within a new conceptual framework. BibRef

Eshera, M.A., Fu, K.S.,
An Image Understanding System Using Attributed Symbolic Representation and Inexact Graph-Matching,
PAMI(8), No. 5, September 1986, pp. 604-618. Generate graphs with labeled arcs and features and match. BibRef 8609

Tsai, W.H., and Fu, K.S.,
Subgraph Error-Correcting Isomorphisms for Syntatic Pattern Recognition,
SMC(13), No. 1, January-February 1983, pp. 48-62. BibRef 8301

Tsai, W.H., and Fu, K.S.,
Error-Correcting Isomorphisms of Attributed Relational Graphs for Pattern Analysis,
SMC(9), No. 12, December 1979, pp. 757-768. Still an O(l^3n^2) method. BibRef 7912

Kasif, S., Kitchen, L., Rosenfeld, A.,
A Hough Transform Technique for Subgraph Isomorphism,
PRL(2), 1983, pp. 83-88. BibRef 8300

Wong, E.K.,
Model Matching in Robot Vision by Subgraph Isomorphism,
PR(25), No. 3, March 1992, pp. 287-303.
Elsevier DOI BibRef 9203

Shoukry, A., Aboutabl, M.,
Neural-Network Approach for Solving the Maximal Common Subgraph Problem,
SMC-B(26), No. 5, October 1996, pp. 785-790.
IEEE Top Reference. Hopfield network. BibRef 9610

El-Sonbaty, Y.[Yasser], Ismail, M.A.,
A New Algorithm for Subgraph Optimal Isomorphism,
PR(31), No. 2, February 1998, pp. 205-218.
Elsevier DOI 9802
BibRef
Earlier:
A Graph-Decomposition Algorithm for Graph Optimal Monomorphism,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Wang, J.T.L., Shapiro, B.A., Shasha, D., Zhang, K., and Currey, K.M.,
An Algorithm for Finding the Largest Approximately Common Substructures of Two Trees,
PAMI(20), No. 8, August 1998, pp. 889-895.
IEEE DOI BibRef 9808

Messmer, B.T.[Bruno T.], Bunke, H.[Horst],
A New Algorithm for Error Tolerant Subgraph Isomorphism Detection,
PAMI(20), No. 5, May 1998, pp. 493-504.
IEEE DOI 9806
BibRef
Earlier:
Fast error-correcting graph isomorphism based on model precompilation,
CIAP97(I: 693-700).
Springer DOI 9709
BibRef
Earlier: A2, A1:
Efficient attributed graph matching and its application to image analysis,
CIAP95(44-55).
Springer DOI 9509
BibRef

Messmer, B.T.[Bruno T.], Bunke, H.[Horst],
A decision tree approach to graph and subgraph isomorphism detection,
PR(32), No. 12, December 1999, pp. 1979-1998.
Elsevier DOI BibRef 9912

Bunke, H., Shearer, K.,
A Graph Distance Metric Based on the Maximal Common Subgraph,
PRL(19), No. 3-4, March 1998, pp. 255-259. 9807
BibRef

Bunke, H., Kandel, A.,
Mean and maximum common subgraph of two graphs,
PRL(21), No. 2, February 2000, pp. 163-168. 0003
BibRef

Fernández, M.L.[Mirtha-Lina], Valiente, G.[Gabriel],
A graph distance metric combining maximum common subgraph and minimum common supergraph,
PRL(22), No. 6-7, May 2001, pp. 753-758.
Elsevier DOI 0105
BibRef

de Piero, F.W.[Fred W.], Krout, D.[David],
An algorithm using length-r paths to approximate subgraph isomorphism,
PRL(24), No. 1-3, January 2003, pp. 33-46.
Elsevier DOI 0211
BibRef

Ferrer, M.[Miquel], Valveny, E., Serratosa, F.[Francesc],
Median graph: A new exact algorithm using a distance based on the maximum common subgraph,
PRL(30), No. 5, 1 April 2009, pp. 579-588.
Elsevier DOI 0903
Median graph; Maximum common subgraph; Minimum common supergraph; Graph matching BibRef

Ferrer, M., Valveny, E., Serratosa, F.,
Median graphs: A genetic approach based on new theoretical properties,
PR(42), No. 9, September 2009, pp. 2003-2012.
Elsevier DOI 0905
Median graph; Genetic search; Maximum common subgraph; Graph matching; Structural pattern recognition BibRef

Ferrer, M.[Miquel], Serratosa, F.[Francesc], Sanfeliu, A.[Alberto],
Synthesis of Median Spectral Graph,
IbPRIA05(II:139).
Springer DOI 0509
BibRef

Sanromà, G.[Gerard], Alquézar, R.[René], Serratosa, F.[Francesc],
A new graph matching method for point-set correspondence using the EM algorithm and Softassign,
CVIU(116), No. 2, February 2012, pp. 292-304.
Elsevier DOI 1201
BibRef
Earlier: A1, A2, A3:
Smooth Simultaneous Structural Graph Matching and Point-Set Registration,
GbRPR11(142-151).
Springer DOI 1105
BibRef
Earlier: A1, A2, A3:
A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features,
ICPR10(954-957).
IEEE DOI 1008
BibRef
Earlier: A1, A3, A2:
Shape Learning with Function-Described Graphs,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef
And: A1, A3, A2:
Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes,
SSPR08(298-307).
Springer DOI 0812
Correspondence problem; Graph matching; Affine registration; Outlier detection; Expectation maximization; Softassign
See also Function-described graphs for modelling objects represented by sets of attributed graphs. BibRef

Raveaux, R.[Romain], Burie, J.C.[Jean-Christophe], Ogier, J.M.[Jean-Marc],
A graph matching method and a graph matching distance based on subgraph assignments,
PRL(31), No. 5, 1 April 2010, pp. 394-406.
Elsevier DOI 1002
Graph matching; Graph distance; Bipartite graph matching; Graph based representation BibRef

Raveaux, R.[Romain], Burie, J.C.[Jean-Christophe], Ogier, J.M.[Jean-Marc],
A local evaluation of vectorized documents by means of polygon assignments and matching,
IJDAR(15), No. 1, March 2012, pp. 21-43.
WWW Link. 1203
BibRef

Wang, T.[Tao], Dai, G.J.[Guo-Jun], Xu, D.[De],
A polynomial algorithm for submap isomorphism of general maps,
PRL(32), No. 8, 1 June 2011, pp. 1100-1107.
Elsevier DOI 1101
Graph; Combinatorial map; Isomorphism; Symbol graph; Pattern recognition BibRef

Damiand, G.[Guillaume], Solnon, C.[Christine], de la Higuera, C.[Colin], Janodet, J.C.[Jean-Christophe], Samuel, É.[Émilie],
Polynomial algorithms for subisomorphism of nD open combinatorial maps,
CVIU(115), No. 7, July 2011, pp. 996-1010.
Elsevier DOI 1106
BibRef
Earlier: A1, A3, A4, A5, A2:
A Polynomial Algorithm for Submap Isomorphism: Application to Searching Patterns in Images,
GbRPR09(102-112).
Springer DOI 0905
Open combinatorial maps; Isomorphism and subisomorphism; Pattern detection; 2D and 3D images BibRef

Janodet, J.C.[Jean-Christophe], de la Higuera, C.[Colin],
Computing the Overlaps of Two Maps,
CTIC16(65-76).
Springer DOI 1608
BibRef

Gosselin, S.[Stéphane], Damiand, G.[Guillaume], Solnon, C.[Christine],
Signatures of Combinatorial Maps,
IWCIA09(370-382).
Springer DOI 0911
Canonical representation of n-d map. BibRef

Imada, T.[Tomoki], Nagamochi, H.[Hiroshi],
Indexing All Rooted Subgraphs of a Rooted Graph,
IEICE(E95-D), No. 3, March 2012, pp. 712-721.
WWW Link. 1203
BibRef

Weber, M.[Markus], Liwicki, M.[Marcus], Dengel, A.R.[Andreas R.],
Faster subgraph isomorphism detection by well-founded total order indexing,
PRL(33), No. 15, 1 November 2012, pp. 2011-2019.
Elsevier DOI 1210
BibRef
Earlier:
Indexing with Well-Founded Total Order for Faster Subgraph Isomorphism Detection,
GbRPR11(185-194).
Springer DOI 1105
Graph isomorphism; Subgraph isomorphism; Tree search; Decision tree; Indexing BibRef

Elzinga, C.H.[Cees H.], Wang, H.[Hui],
Kernels for acyclic digraphs,
PRL(33), No. 16, 1 December 2012, pp. 2239-2244.
Elsevier DOI 1210
Pattern recognition; Directed graph; Graph similarity; Graph kernel; Graph minors; Path and cycle in graphs BibRef

Zhang, H.Y.[Hong-Yun], Pedrycz, W.[Witold], Miao, D.Q.[Duo-Qian], Zhong, C.M.[Cai-Ming],
A global structure-based algorithm for detecting the principal graph from complex data,
PR(46), No. 6, June 2013, pp. 1638-1647.
Elsevier DOI 1302
Principal curve; Complex data; Global structure; Principal graph; Vertex-merge step; Improved fitting-smoothing phase BibRef

Raviv, D.[Dan], Kimmel, R.[Ron], Bruckstein, A.M.[Alfred M.],
Graph Isomorphisms and Automorphisms via Spectral Signatures,
PAMI(35), No. 8, 2013, pp. 1985-1993.
IEEE DOI 1307
Complexity theory; Eigenvalues and eigenfunctions; Laplace equations; Graph isomorphism BibRef

Liu, H.R.[Hai-Rong], Yang, X.W.[Xing-Wei], Latecki, L.J.[Longin Jan], Yan, S.C.[Shui-Cheng],
Dense Neighborhoods on Affinity Graph,
IJCV(98), No. 1, May 2012, pp. 65-82.
WWW Link. 1204
On graphs as opposed to images. BibRef

Liu, H.R.[Hai-Rong], Latecki, L.J.[Longin Jan], Yan, S.C.[Shui-Cheng],
Fast Detection of Dense Subgraphs with Iterative Shrinking and Expansion,
PAMI(35), No. 9, 2013, pp. 2131-2142.
IEEE DOI 1307
Algorithm design and analysis BibRef

Liu, H.R.[Hai-Rong], Latecki, L.J.[Longin Jan], Yan, S.C.[Shui-Cheng],
Dense Subgraph Partition of Positive Hypergraphs,
PAMI(37), No. 3, March 2015, pp. 541-554.
IEEE DOI 1502
Clustering algorithms BibRef

Saund, E.[Eric],
A Graph Lattice Approach to Maintaining and Learning Dense Collections of Subgraphs as Image Features,
PAMI(35), No. 10, 2013, pp. 2323-2339.
IEEE DOI 1309
BibRef
Earlier:
A Graph Lattice Approach to Maintaining Dense Collections of Subgraphs as Image Features,
ICDAR11(1069-1074).
IEEE DOI 1111
Histograms. For character recognition. BibRef

Morales-González, A.[Annette], Acosta-Mendoza, N.[Niusvel], Gago-Alonso, A.[Andrés], García-Reyes, E.B.[Edel B.], Medina-Pagola, J.E.[José E.],
A new proposal for graph-based image classification using frequent approximate subgraphs,
PR(47), No. 1, 2014, pp. 169-177.
Elsevier DOI 1310
BibRef
Earlier: A2, A1, A3, A4, A5:
Image Classification Using Frequent Approximate Subgraphs,
CIARP12(292-299).
Springer DOI 1209
Approximate graph mining BibRef

Prado-Romero, M.A.[Mario Alfonso], Gago-Alonso, A.[Andrés],
Detecting contextual collective anomalies at a Glance,
ICPR16(2532-2537)
IEEE DOI 1705
BibRef
Earlier:
Community Feature Selection for Anomaly Detection in Attributed Graphs,
CIARP16(109-116).
Springer DOI 1703
Algorithm design and analysis, Clustering algorithms, Computer networks, Context, Detection algorithms, Image edge detection, Social network services BibRef

Acosta-Mendoza, N.[Niusvel], Gago-Alonso, A.[Andrés], Medina-Pagola, J.E.[José E.],
On Speeding up Frequent Approximate Subgraph Mining,
CIARP12(316-323).
Springer DOI 1209
BibRef

Sussman, D.L.[Daniel L.], Tang, M.[Minh], Priebe, C.E.[Carey E.],
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs,
PAMI(36), No. 1, 2014, pp. 48-57.
IEEE DOI 1312
eigen-decomposition of the adjacency matrix for graphs. Analyze graphs in Encyclopedias. BibRef

Tao, S.Q.[Song-Qiao], Huang, Z.D.[Zheng-Dong], Zuo, B.Q.[Bing-Quan], Peng, Y.P.[Yang-Ping], Kang, W.[Weirui],
Partial retrieval of CAD models based on the gradient flows in Lie group,
PR(45), No. 4, 2012, pp. 1721-1738.
Elsevier DOI 1410
Partial retrieval. ARG created from b-rep. Subgraph matching. BibRef

Dahm, N.[Nicholas], Bunke, H.[Horst], Caelli, T.M.[Terry M.], Gao, Y.S.[Yong-Sheng],
Efficient subgraph matching using topological node feature constraints,
PR(48), No. 2, 2015, pp. 317-330.
Elsevier DOI 1411
BibRef
Earlier:
Topological features and iterative node elimination for speeding up subgraph isomorphism detection,
ICPR12(1164-1167).
WWW Link. 1302
Graph matching BibRef

Dahm, N.[Nicholas], Gao, Y.S.[Yong-Sheng], Caelli, T.M.[Terry M.], Bunke, H.[Horst],
Delaunay-supported edges for image graphs,
ICIP15(1036-1040)
IEEE DOI 1512
graph matching BibRef

Solnon, C.[Christine], Damiand, G.[Guillaume], de la Higuera, C.[Colin], Janodet, J.C.[Jean-Christophe],
On the complexity of submap isomorphism and maximum common submap problems,
PR(48), No. 2, 2015, pp. 302-316.
Elsevier DOI 1411
Generalized map BibRef

Flouvat, F.[Frédéric], Soc, J.F.N.V.[Jean-François Nguyen Van], Desmier, E.[Elise], Selmaoui-Folcher, N.[Nazha],
Domain-driven co-location mining,
GeoInfo(19), No. 1, January 2015, pp. 147-183.
Springer DOI 1503
Subsets of features frequently located together. BibRef

Fan, X.H.[Xu-Hui], Cao, L.B.[Long-Bing],
A convergence theorem for graph shift-type algorithms,
PR(48), No. 8, 2015, pp. 2751-2760.
Elsevier DOI 1505
Convergence proof BibRef

Pan, S.R.[Shi-Rui], Wu, J.[Jia], Zhu, X.Q.[Xing-Quan], Long, G.D.[Guo-Dong], Zhang, C.Q.[Cheng-Qi],
Finding the best not the most: regularized loss minimization subgraph selection for graph classification,
PR(48), No. 11, 2015, pp. 3783-3796.
Elsevier DOI 1506
Feature selection BibRef

Wu, J.[Jia], Pan, S.R.[Shi-Rui], Zhu, X.Q.[Xing-Quan], Zhang, P.[Peng], Zhang, C.Q.[Cheng-Qi],
SODE: Self-Adaptive One-Dependence Estimators for classification,
PR(51), No. 1, 2016, pp. 358-377.
Elsevier DOI 1601
Attribute weighting BibRef

Ren, W.[Weiya], Li, G.H.[Guo-Hui], Tu, D.[Dan],
Graph clustering by congruency approximation,
IET-CV(9), No. 6, 2015, pp. 841-849.
DOI Link 1512
computational complexity BibRef

Girault, B., Goncalves, P., Fleury, E.,
Translation on Graphs: An Isometric Shift Operator,
SPLetters(22), No. 12, December 2015, pp. 2416-2420.
IEEE DOI 1512
graph theory BibRef

Iwata, T., Lloyd, J.R., Ghahramani, Z.,
Unsupervised Many-to-Many Object Matching for Relational Data,
PAMI(38), No. 3, March 2016, pp. 607-617.
IEEE DOI 1602
Automobiles. Groups of nodes in separate networks. Word networks. BibRef

Lu, J.[Jing], Wan, W.G.[Wang-Gen],
Identification of Key Nodes in Microblog Networks,
ETRI(38), No. 1, February 2016, pp. 52-61.
DOI Link 1602
BibRef

Fortnow, L.,
The status of the P versus NP problem,
CACM(52), No. 9, September 2009,
DOI Link 1608
BibRef

Babai, L.,
Graph Isomorphism in Quasipolynomial Time,
arXivCornell University Library, 2015,
WWW Link. 1608
BibRef

Muñoz-Briseño, A.[Alfredo], Lara-Alvarez, G.[Gustavo], Gago-Alonso, A.[Andrés], Hernández-Palancar, J.[José],
A novel geometric graph miner and its applications,
PRL(84), No. 1, 2016, pp. 208-214.
Elsevier DOI 1612
Geometric subgraphs BibRef

Escolano, F.[Francisco], Hancock, E.R.[Edwin R.], Lozano, M.A.[Miguel A.], Curado, M.[Manuel],
The mutual information between graphs,
PRL(87), No. 1, 2017, pp. 12-19.
Elsevier DOI 1703
Graph entropy BibRef

Dutta, A.[Anjan], Lladós, J.[Josep], Bunke, H.[Horst], Pal, U.[Umapada],
Product graph-based higher order contextual similarities for inexact subgraph matching,
PR(76), No. 1, 2018, pp. 596-611.
Elsevier DOI 1801
Subgraph matching BibRef

Chaudhuri, B., Demir, B., Chaudhuri, S., Bruzzone, L.,
Multilabel Remote Sensing Image Retrieval Using a Semisupervised Graph-Theoretic Method,
GeoRS(56), No. 2, February 2018, pp. 1144-1158.
IEEE DOI 1802
Buildings, Feature extraction, Image edge detection, Image retrieval, Remote sensing, Semantics, Training, subgraph matching BibRef

Farhi, S.H.[Sidali Hocine], Boughaci, D.[Dalila],
Graph based model for information retrieval using a stochastic local search,
PRL(105), 2018, pp. 234-239.
Elsevier DOI 1804
Graph mining, Subgraph mining, Frequent subgraphs, Stochastic local search, Information retrieval BibRef

Le, T.N.[Thanh Nam], Luqman, M.M.[Muhammad Muzzamil], Dutta, A.[Anjan], Héroux, P.[Pierre], Rigaud, C.[Christophe], Guérin, C.[Clément], Foggia, P.[Pasquale], Burie, J.C.[Jean-Christophe], Ogier, J.M.[Jean-Marc], Lladós, J.[Josep], Adam, S.[Sébastien],
Subgraph spotting in graph representations of comic book images,
PRL(112), 2018, pp. 118-124.
Elsevier DOI 1809
Attributed graph, Region adjacency graph, Graph matching, Graph isomorphism, Subgraph isomorphism, Subgraph spotting, Dataset and comic book images BibRef

Saad, H., Nosratinia, A.,
Exact Recovery in Community Detection With Continuous-Valued Side Information,
SPLetters(26), No. 2, February 2019, pp. 332-336.
IEEE DOI 1902
graph theory, continuous-valued side information, community detection problem, sharp threshold, Stochastic processes BibRef

Haq, N.F.[Nandinee Fariah], Moradi, M.[Mehdi], Wang, Z.J.[Z. Jane],
Community structure detection from networks with weighted modularity,
PRL(122), 2019, pp. 14-22.
Elsevier DOI 1904
Networks, Graph, Clustering, Community detection, Modularity BibRef

Haije, T.D.[T. Dela], Savadjiev, P., Fuster, A., Schultz, R., Verma, R., Florack, L., Westin, C.,
Structural Connectivity Analysis Using Finsler Geometry,
SIIMS(12), No. 1, 2019, pp. 551-575.
DOI Link 1904
BibRef

Dwivedi, S.P.[Shri Prakash], Singh, R.S.[Ravi Shankar],
Error-tolerant geometric graph similarity and matching,
PRL(125), 2019, pp. 625-631.
Elsevier DOI 1909
BibRef
Earlier:
Error-Tolerant Geometric Graph Similarity,
SSSPR18(337-344).
Springer DOI 1810
Graph matching, Geometric graph, Structural pattern recognition BibRef

Carletti, V.[Vincenzo], Foggia, P.[Pasquale], Greco, A.[Antonio], Vento, M.[Mario], Vigilante, V.[Vincenzo],
VF3-Light: A lightweight subgraph isomorphism algorithm and its experimental evaluation,
PRL(125), 2019, pp. 591-596.
Elsevier DOI 1909
Graph matching, Subgraph isomorphism, Structural pattern recognition BibRef

Shen, J., Lyu, S., Zhang, X., Lu, Y.,
Change Detection via Graph Matching and Multi-View Geometric Constraints,
ICIP19(4035-4039)
IEEE DOI 1910
Change detection, Maximum common subgraph matching, Multi-view, Geometric constraints BibRef

Qu, J., Sun, P., Li, X., Wang, B., Lu, X., Tang, Z., Zhang, C.,
A Retrieval System of Medicine Molecules Based on Graph Similarity,
MultMedMag(26), No. 4, October 2019, pp. 17-27.
IEEE DOI 1912
Chemicals, Biomedical imaging, Streaming media, Compounds, Media, Optimization, Sun, chemical structural formula, graph isomorphism BibRef

Sandi, G.[Giulia], Vascon, S.[Sebastiano], Pelillo, M.[Marcello],
Hypergraph isomorphism using association hypergraphs,
PRL(128), 2019, pp. 393-399.
Elsevier DOI 1912
Hypergraph isomorphism, Sub-hypergraph isomorphism, Association graph, Baum-Eagon inequality, Complexity classes BibRef

Nie, W.Z.[Wei-Zhi], Ding, H.[Hai], Liu, A.[Anan], Deng, Z.H.[Zong-Hui], Su, Y.T.[Yu-Ting],
Subgraph learning for graph matching,
PRL(130), 2020, pp. 362-369.
Elsevier DOI 2002
Graph matching, Markov Chain Monte Carlo, Image matching, Object retrieval BibRef

Grohe, M.[Martin], Schweitzer, P.[Pascal],
The Graph Isomorphism Problem,
CACM(63), No. 11, November 2020, pp. 128-134.
DOI Link 2010
Survey, Graph Isomorphism. BibRef

Carletti, V.[Vincenzo], Foggia, P.[Pasquale], Greco, A.[Antonio], Saggese, A.[Alessia], Vento, M.[Mario],
Comparing performance of graph matching algorithms on huge graphs,
PRL(134), 2020, pp. 58-67.
Elsevier DOI 2005
Graphs, Graph matching, Subgraph isomorphism, Large graphs, Biographs, Social graphs, Comparison BibRef

Grohe, M.[Martin], Neuen, D.[Daniel],
Isomorphism, Canonization, and Definability for Graphs of Bounded Rank Width,
CACM(64), No. 5, May 2021, pp. 98-105.
DOI Link 2105
Graph isomorphism problem and the closely related graph canonization problem as well as logical definability and descriptive complexity on graph classes of bounded rank width. BibRef

Jebari, C.[Chaker],
Enhancing the identification of web genres by combining internal and external structures,
PRL(146), 2021, pp. 83-89.
Elsevier DOI 2105
Web genre identification, Combination, Dempster Shafer theory, OWA operators BibRef

Carletti, V.[Vincenzo], Foggia, P.[Pasquale], Percannella, G.[Gennaro], Ritrovato, P.[Pierluigi], Vento, M.[Mario],
Two parallel versions of VF3: Performance analysis on a wide database of graphs,
PRL(146), 2021, pp. 150-157.
Elsevier DOI 2105
Exact graph matching, Subgraph isomorphism, Parallel algorithms, VF3 BibRef

Smaniotto, S.[Sebastiano], Pelillo, M.[Marcello],
Two metrics for attributed hypergraphs,
PRL(149), 2021, pp. 143-149.
Elsevier DOI 2108
Hypergraph, Matching, Metric distance, Hypergraph isomorphism BibRef

Driss, K.[Kaouthar], Boulila, W.[Wadii], Leborgne, A.[Aurélie], Gançarski, P.[Pierre],
Mining frequent approximate patterns in large networks,
IJIST(31), No. 3, 2021, pp. 1265-1279.
DOI Link 2108
approximate matching, direct graph, frequent pattern mining, JSON noisy data, networks, undirected graph BibRef

Lan, Z.X.[Zi-Xun], Ma, Y.[Ye], Yu, L.M.[Li-Min], Yuan, L.L.[Ling-Long], Ma, F.[Fei],
AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching,
PR(133), 2023, pp. 109033.
Elsevier DOI 2210
Subgraph matching, Graph neural network, Neural matching BibRef

Shu, D.W.[Dong Wook], Kim, Y.[Youjin], Kwon, J.[Junseok],
Localized curvature-based combinatorial subgraph sampling for large-scale graphs,
PR(139), 2023, pp. 109475.
Elsevier DOI 2304
Subgraph sampling method, Discrete Ricci curvature BibRef

Zhang, H.[Hao], Ren, Y.X.[Yi-Xin], Xia, Y.W.[Ye-Wei], Zhou, S.[Shuigeng], Guan, J.H.[Ji-Hong],
Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph,
PAMI(46), No. 12, December 2024, pp. 10259-10271.
IEEE DOI 2411
Partitioning algorithms, Skeleton, Transforms, Pattern analysis, Testing, Task analysis, causal discovery BibRef

Sedghi, M.[Mahlagha], Beckus, A.[Andre], Atia, G.K.[George K.],
Sketch based Community Detection via Representative Node Sampling,
ICPR21(9851-9858)
IEEE DOI 2105
Clustering algorithms, Stochastic processes, Data visualization, Sampling methods, Reflection, Data models, Timing BibRef

Xu, M.M.[Meng-Meng], Zhao, C.[Chen], Rojas, D.S.[David S.], Thabet, A.[Ali], Ghanem, B.[Bernard],
G-TAD: Sub-Graph Localization for Temporal Action Detection,
CVPR20(10153-10162)
IEEE DOI 2008
Semantics, Feature extraction, Convolution, Image edge detection, Proposals, Task analysis BibRef

Xu, T., Chiu, D., Gondra, I.,
Common Random Subgraph Modeling Using Multiple Instance Learning,
ICPR18(1205-1210)
IEEE DOI 1812
Data models, Computational modeling, Probability distribution, Active appearance model, Mathematical model, Probabilistic logic BibRef

Carletti, V.[Vincenzo], Foggia, P.[Pasquale], Greco, A.[Antonio], Saggese, A.[Alessia], Vento, M.[Mario],
The VF3-Light Subgraph Isomorphism Algorithm: When Doing Less Is More Effective,
SSSPR18(315-325).
Springer DOI 1810
BibRef

Acosta-Mendoza, N.[Niusvel], Carrasco-Ochoa, J.A.[Jesús Ariel], Martínez-Trinidad, J.F.[José Francisco], Gago-Alonso, A.[Andrés], Medina-Pagola, J.E.[José E.],
Image Clustering Based on Frequent Approximate Subgraph Mining,
MCPR18(189-198).
Springer DOI 1807
BibRef

Alam, T.[Tahira], Zahin, S.A.[Sabit Anwar], Samiullah, M., Ahmed, C.F.[Chowdhury Farhan],
An Efficient Approach for Mining Frequent Subgraphs,
PReMI17(486-492).
Springer DOI 1711
BibRef

Liu, Y.Z.[Yan-Zhen], Bai, X.[Xiao], Yang, H.C.[Hai-Chuan], Jun, Z.[Zhou], Zhang, Z.H.[Zhi-Hong],
Isometric Mapping Hashing,
GbRPR15(325-334).
Springer DOI 1511
BibRef

Lerouge, J.[Julien], Le Bodic, P.[Pierre], Héroux, P.[Pierre], Adam, S.[Sébastien],
GEM++: A Tool for Solving Substitution-Tolerant Subgraph Isomorphism,
GbRPR15(128-137).
Springer DOI 1511
BibRef

Suh, Y.M.[Yu-Min], Adamczewski, K.[Kamil], Lee, K.M.[Kyoung Mu],
Subgraph matching using compactness prior for robust feature correspondence,
CVPR15(5070-5078)
IEEE DOI 1510
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Nie, W.Z.[Wei-Zhi], Liu, A.A.[An-An], Gao, Z.[Zan], Su, Y.T.[Yu-Ting],
Clique-graph matching by preserving global & local structure,
CVPR15(4503-4510)
IEEE DOI 1510
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El Sayed, A.[Ahmed], Mahmood, A.[Ausif], Sobh, T.[Tarek],
Unsupervised Sub-graph Selection and Its Application in Face Recognition Techniques,
ICIAR15(247-256).
Springer DOI 1507
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Acosta-Mendoza, N.[Niusvel], Gago-Alonso, A.[Andrés], Carrasco-Ochoa, J.A.[Jesús Ariel], Martínez-Trinidad, J.F.[José Francisco], Medina-Pagola, J.E.[José Eladio],
Mining Generalized Closed Patterns from Multi-graph Collections,
CIARP17(10-18).
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Earlier: A1, A3, A4, A2, A5:
A New Method Based on Graph Transformation for FAS Mining in Multi-graph Collections,
MCPR15(13-22).
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FAS: frequent approximate subgraph. BibRef

Lu, K.[Kai], Zhang, Y.[Yi], Xu, K.[Kai], Gao, Y.H.[Ying-Hui], Wilson, R.C.[Richard C.],
Approximate Maximum Common Sub-graph Isomorphism Based on Discrete-Time Quantum Walk,
ICPR14(1413-1418)
IEEE DOI 1412
Accuracy BibRef

Choi, S.W.[Sun-Wook], Lee, C.H.[Chong Ho], Park, I.K.[In Kyu],
Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification,
ECCV14(VII: 361-376).
Springer DOI 1408
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Brimkov, V.E.[Valentin E.],
Knapsack Intersection Graphs and Efficient Computation of Their Maximal Cliques,
CompIMAGE14(176-187).
Springer DOI 1407
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Jiang, Q.R.[Qiang-Rong], Chen, H.J.[Huan-Jun], Liu, B.[Bo],
The Application of Graph Kernels in Face Recognition,
DICTA12(1-7).
IEEE DOI 1303
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Hou, J.[Jian], Xu, E, Chi, L.[Lei], Xia, Q.[Qi], Qi, N.M.[Nai-Ming],
Dominant set and target clique extraction,
ICPR12(1831-1834).
WWW Link. 1302
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Villuendas-Rey, Y.[Yenny], Caballero-Mota, Y.[Yailé], García-Lorenzo, M.M.[María Matilde],
Using Rough Sets and Maximum Similarity Graphs for Nearest Prototype Classification,
CIARP12(300-307).
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Zhang, B.[Baida], Tang, Y.H.[Yu-Hua], Wu, J.J.[Jun-Jie], Huang, L.Q.[Lin-Qi],
A Unique Vertex Deleting Algorithm for Graph Isomorphism,
ISIDF11(1-4).
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Ozdemir, B.[Bahadir], Aksoy, S.[Selim],
Image Classification Using Subgraph Histogram Representation,
ICPR10(1112-1115).
IEEE DOI 1008
Image representation graphs and bag-of-words. Graph of local patches, histogram of subgraphs. BibRef

Schellewald, C.[Christian],
A Bound for Non-subgraph Isomorphism,
GbRPR07(71-80).
Springer DOI 0706
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Schellewald, C.[Christian], Schnörr, C.[Christoph],
Probabilistic Subgraph Matching Based on Convex Relaxation,
EMMCVPR05(171-186).
Springer DOI 0601
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Saxena, T.[Tushar], Tu, P.[Peter], Hartley, R.I.[Richard I.],
Recognizing Objects in Cluttered Images Using Subgraph Isomorphism,
DARPA98(875-882).
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Akinniyi, F.A., and Wong, A.K.C.,
A New Product Graph Based Algorithm for Subgraph Isomorphism,
CVPR83(457-467). BibRef 8300

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Matching Graphs and 3-D Network Descriptions .