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Subgraph matching is the problem of determining the presence and location(s) of a given query graph in a large target graph.
On the evolution of random graphs
Paul Erdős and Alfréd Rényi · 1960
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An algorithm for subgraph isomorphism
Julian R Ullmann · 1976
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Structure-mapping: A theoretical framework for analogy
Dedre Gentner · 1983
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An eigendecomposition approach to weighted graph matching problems
Shinji Umeyama · 1988
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Structural matching in computer vision using probabilistic relaxation
William J. Christmas, Josef Kittler, and Maria Petrou · 1995
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Concept mapping: A graphical system for understanding the relationship between concepts
Eric Plotnick · 1997
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Topology of evolving networks: local events and universality
Réka Albert and Albert-László Barabási · 2000
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Heuristics for similarity searching of chemical graphs using a maximum common edge subgraph algorithm
John W Raymond, Eleanor J Gardiner, and Peter Willett · 2002
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Graph-based technologies for intelligence analysis
Thayne Coffman, Seth Greenblatt, and Sherry Marcus · 2004
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A (sub) graph isomorphism algorithm for matching large graphs
Luigi P Cordella, Pasquale Foggia, Carlo Sansone, and Mario Vento · 2004
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Template based semantic similarity for security applications
Boanerges Aleman-Meza, Christian Halaschek-Wiener, Satya Sanket Sahoo, Amit Sheth, and I Budak Arpinar · 2005
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Object categorization by learned universal visual dictionary
John Winn, Antonio Criminisi, and Thomas Minka · 2005
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Matching structure and semantics: A survey on graph-based pattern matching
Brian Gallagher · 2006
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Path matching and graph matching in biological networks
Qingwu Yang and Sing-Hoi Sze · 2007
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Biomolecular network motif counting and discovery by color coding
Noga Alon, Phuong Dao, Iman Hajirasouliha, Fereydoun Hormozdiari, and S Cenk Sahinalp · 2008
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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2008
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Isorankn: spectral methods for global alignment of multiple protein networks
Chung-Shou Liao, Kanghao Lu, Michael Baym, Rohit Singh, and Bonnie Berger · 2009
Cited alongside, same era.
Partial order embedding with multiple kernels
Brian McFee and Gert Lanckriet · 2009
Cited alongside, same era.
A fast projected fixed-point algorithm for large graph matching
Yao Lu, Kaizhu Huang, and Cheng-Lin Liu · 2012
Cited alongside, same era.
Efficient subgraph matching on billion node graphs
Probabilistic embedding of knowledge graphs with box lattice measures
Luke Vilnis, Xiang Li, Shikhar Murty, and Andrew McCallum · 2018
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How powerful are graph neural networks?
Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka · 2018
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Simgnn: A neural network approach to fast graph similarity computation
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, and Wei Wang · 2019
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On the equivalence between graph isomorphism testing and function approximation with gnns
Zhengdao Chen, Soledad Villar, Lei Chen, and Joan Bruna · 2019
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Retrosynthesis prediction with conditional graph logic network
Hanjun Dai, Chengtao Li, Connor Coley, Bo Dai, and Le Song · 2019
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Graph matching networks for learning the similarity of graph structured objects
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Zhao Sun, Hongzhi Wang, Haixun Wang, Bin Shao, and Jianzhong Li · 2012
Cited alongside, same era.
A subgraph isomorphism algorithm and its application to biochemical data
Vincenzo Bonnici, Rosalba Giugno, Alfredo Pulvirenti, Dennis Shasha, and Alfredo Ferro · 2013
Cited alongside, same era.
M-finder: Uncovering functionally associated proteins from interactome data integrated with go annotations
Young-Rae Cho, Marco Mina, Yanxin Lu, Nayoung Kwon, and Pietro H Guzzi · 2013
Cited alongside, same era.
Reasoning with neural tensor networks for knowledge base completion
Richard Socher, Danqi Chen, Christopher D Manning, and Andrew Ng · 2013
Cited alongside, same era.
Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2017
Cited alongside, same era.
Convolutional set matching for graph similarity
Yunsheng Bai, Hao Ding, Yizhou Sun, and Wei Wang · 2018
Cited alongside, same era.
Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, and Pushmeet Kohli · 2019
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Weisfeiler and leman go neural: Higher-order graph neural networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe · 2019
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A survey on subgraph counting: concepts, algorithms and applications to network motifs and graphlets
Pedro Ribeiro, Pedro Paredes, Miguel EP Silva, David Aparicio, and Fernando Silva · 2019
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Learning combinatorial embedding networks for deep graph matching
Runzhong Wang, Junchi Yan, and Xiaokang Yang · 2019
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Relation-aware entity alignment for heterogeneous knowledge graphs
Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, and Dongyan Zhao · 2019
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Cross-lingual knowledge graph alignment via graph matching neural network
Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, and Dong Yu · 2019
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Deep graphical feature learning for the feature matching problem
Zhen Zhang and Wee Sun Lee · 2019
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Deep graph matching consensus
Matthias Fey, Jan E. Lenssen, Christopher Morris, Jonathan Masci, and Nils M. Kriege · 2020
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