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Graph Edit Distance without Correspondence from Continuous-Time Quantum
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Springer DOI
0812
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Springer DOI
0706
Graph matching; Continuous-time quantum walk; Interference; Object recognition
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Graph embedding; Spectral clustering; Pairwise constraints; Signed
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IEEE DOI
1710
Euclidean distance, Face, Kernel, Laplace equations, Manifolds,
Robustness, Training, Graph embedding,
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1809
Renyi entropy, PCA, Kernel learning, Graph embedding
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New graph distance for deformable 3D objects recognition based on
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Elsevier DOI
1903
Graph matching, Graph edit distance, Graph decomposition,
Graph embedding, Graph metric, Graph classification,
Metric learning
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Elsevier DOI
2102
Network embedding, SGNS, Line graph, Spectral theory
BibRef
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Hancock, E.R.[Edwin R.],
Semi-supervised Graph Rewiring with the Dirichlet Principle,
ICPR18(2172-2177)
IEEE DOI
1812
Laplace equations, Electrical resistance measurement, Resistance,
Estimation, Kernel, Pattern recognition, Computer science
BibRef
Wang, Y.Y.[Yue-Yang],
Duan, Z.H.[Zi-Heng],
Huang, Y.[Yida],
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MTHetGNN: A heterogeneous graph embedding framework for multivariate
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Elsevier DOI
2201
Multivariate time series forecasting, Graph neural networks,
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Bai, L.[Liang],
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A categorical data clustering framework on graph representation,
PR(128), 2022, pp. 108694.
Elsevier DOI
2205
Cluster analysis, Categorical data clustering,
Data representation, Graph embedding
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Elsevier DOI
2205
Node classification, Clique, Graph embedding, Random walk
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Jiang, H.[Hua],
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Luo, Y.[Yintao],
Ma, J.L.[Jun-Liang],
A self-attentive model for tracing knowledge and engagement in
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PRL(165), 2023, pp. 25-32.
Elsevier DOI
2301
Knowledge tracing, Graph embedding, Self-attention,
Massive open online courses, Deep learning, Engagement
BibRef
Shen, X.B.[Xiao-Bo],
Ong, Y.S.[Yew-Soon],
Mao, Z.[Zheng],
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Compact network embedding for fast node classification,
PR(136), 2023, pp. 109236.
Elsevier DOI
2301
Network embedding, Hashing, Compact representation, Graph
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Chen, D.D.[Dong-Dong],
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Zhang, L.[Lichi],
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Position-aware and structure embedding networks for deep graph
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Elsevier DOI
2301
Graph Matching, Graph Embedding, Deep Neural Network
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Ye, Z.L.[Zhi-Ling],
Zhang, Z.H.[Zhi-Hong],
Bai, L.[Lu],
Hu, G.S.[Guo-Sheng],
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Hu, Y.Q.[Yi-Qun],
Hancock, E.R.[Edwin R.],
A Unified Neighbor Reconstruction Method for Embeddings,
ICPR18(3186-3191)
IEEE DOI
1812
Feature extraction, Manifolds, Sparse matrices,
Reconstruction algorithms, Dimensionality reduction, Measurement,
Computational modeling
BibRef
Xue, L.[Li],
Yao, W.B.[Wen-Bin],
Xia, Y.[Yamei],
Li, X.Y.[Xiao-Yong],
Deep Attributed Network Embedding with Community Information,
MMMod21(I:653-665).
Springer DOI
2106
BibRef
Molokwu, B.C.[Bonaventure C.],
Shuvo, S.B.[Shaon Bhatta],
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Social Network Analysis using Knowledge-Graph Embeddings and
Convolution Operations*,
ICPR21(6351-6358)
IEEE DOI
2105
Training, Social networking (online), Convolution,
Predictive models, Feature extraction, Feature Extraction
BibRef
Gao, X.[Xiyue],
Chen, J.[Jun],
Yao, J.[Jing],
Zhu, W.Q.[Wen-Qian],
LDSNE: Learning Structural Network Embeddings by Encoding Local
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MMMod20(I:642-652).
Springer DOI
2003
ow-dimensional features from the relationships and attributes of networks.
BibRef
Schroeder, B.,
Tripathi, S.,
Tang, H.,
Triplet-Aware Scene Graph Embeddings,
SGRL19(1783-1787)
IEEE DOI
2004
data visualisation, graph theory, triplet supervision,
data augmentation, scene graph representation, visualization,
graph neural network
BibRef
Do, K.,
Tran, T.,
Venkatesh, S.,
Knowledge Graph Embedding with Multiple Relation Projections,
ICPR18(332-337)
IEEE DOI
1812
data mining, graph theory, inference mechanisms, matrix algebra,
statistical analysis, projection matrices,
Computational modeling
BibRef
Yang, S.[Shuang],
Yang, B.[Bo],
Enhanced Network Embedding with Text Information,
ICPR18(326-331)
IEEE DOI
1812
Task analysis, Matrix decomposition, Linear programming,
Pattern recognition, Computer science, Twitter
BibRef
Zhang, L.,
Li, X.,
Xiang, J.,
Qi, Y.,
LHONE: Label Homophily Oriented Network Embedding,
ICPR18(665-670)
IEEE DOI
1812
Gaussian mixture model, Linear programming, Optimization,
Social network services, Task analysis, Computational complexity
BibRef
Harandi, M.T.[Mehrtash T.],
Sanderson, C.[Conrad],
Shirazi, S.A.[Sareh Abolahrari],
Lovell, B.C.[Brian C.],
Graph embedding discriminant analysis on Grassmannian manifolds for
improved image set matching,
CVPR11(2705-2712).
IEEE DOI
1106
BibRef
Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Social Networks, Creation, Visualization, Use .