SOTAVerified

Graph Matching

Graph Matching is the problem of finding correspondences between two sets of vertices while preserving complex relational information among them. Since the graph structure has a strong capacity to represent objects and robustness to severe deformation and outliers, it is frequently adopted to formulate various correspondence problems in the field of computer vision. Theoretically, the Graph Matching problem can be solved by exhaustively searching the entire solution space. However, this approach is infeasible in practice because the solution space expands exponentially as the size of input data increases. For that reason, previous studies have attempted to solve the problem by using various approximation techniques.

Source: Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization

Papers

Showing 101150 of 477 papers

TitleStatusHype
Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge BaseCode0
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic RepairCode0
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph MatchingCode0
Permutation-Invariant Subgraph DiscoveryCode0
Model-based inexact graph matching on top of CNNs for semantic scene understandingCode0
Cross-modal registration using point clouds and graph-matching in the context of correlative microscopiesCode0
Mind Artist: Creating Artistic Snapshots with Human ThoughtCode0
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural NetworkCode0
Adaptive Edge Attention for Graph Matching with OutliersCode0
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph MatchingCode0
MAGIC: Mining an Augmented Graph using INK, starting from a CSVCode0
MTab: Matching Tabular Data to Knowledge Graph using Probability ModelsCode0
Learning Latent Partial Matchings with Gumbel-IPF NetworksCode0
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set MatchingCode0
Learning Scene-Pedestrian Graph for End to end Person SearchCode0
SeedGNN: Graph Neural Networks for Supervised Seeded Graph MatchingCode0
Learning Combinatorial Embedding Networks for Deep Graph MatchingCode0
Layered Neighborhood Expansion for Incremental Multiple Graph MatchingCode0
A Functional Representation for Graph MatchingCode0
Learning Constrained Structured Spaces with Application to Multi-Graph MatchingCode0
Learning without Isolation: Pathway Protection for Continual LearningCode0
Smatch: an Evaluation Metric for Semantic Feature StructuresCode0
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and AveragingCode0
Joint Graph Learning and Matching for Semantic Feature CorrespondenceCode0
Learning a Fixed-Length Fingerprint RepresentationCode0
IsoNN: Isomorphic Neural Network for Graph Representation Learning and ClassificationCode0
KerGM: Kernelized Graph MatchingCode0
HeGMN: Heterogeneous Graph Matching Network for Learning Graph SimilarityCode0
Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach.Code0
On the limits of neural network explainability via descramblingCode0
Co-attention Graph Pooling for Efficient Pairwise Graph Interaction LearningCode0
Graph Matching with Partially-Correct SeedsCode0
A Fast Projected Fixed-Point Algorithm for Large Graph MatchingCode0
Hypergraph Neural Networks for Hypergraph MatchingCode0
Knowledge Generation -- Variational Bayes on Knowledge GraphsCode0
Efficient random graph matching via degree profilesCode0
Graph Matching Networks for Learning the Similarity of Graph Structured ObjectsCode0
Efficient Hierarchical Graph-Based Segmentation of RGBD VideosCode0
Graph Matching via convex relaxation to the simplexCode0
A Comparative Study of Graph Matching Algorithms in Computer VisionCode0
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant CorrelationCode0
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the questionCode0
GrannGAN: Graph annotation generative adversarial networksCode0
CLAP: Concave Linear APproximation for Quadratic Graph MatchingCode0
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network LearningCode0
Graph Matching via Optimal TransportCode0
CSGO: Constrained-Softassign Gradient Optimization For Large Graph MatchingCode0
A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial ProblemsCode0
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity LearningCode0
Fusion Moves for Graph MatchingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GMT-BBGMmatching accuracy0.84Unverified
2GMTRmatching accuracy0.84Unverified
3COMMONmatching accuracy0.83Unverified
4GCANmatching accuracy0.82Unverified
5URLmatching accuracy0.82Unverified
6CREAMmatching accuracy0.81Unverified
7ASAR-GMmatching accuracy0.81Unverified
8GAMnetmatching accuracy0.81Unverified
9NHGM-v2matching accuracy0.8Unverified
10EAGMmatching accuracy0.71Unverified
#ModelMetricClaimedVerifiedStatus
1COMMONmatching accuracy0.99Unverified
2GANN-MGMmatching accuracy0.99Unverified
3URLmatching accuracy0.99Unverified
4CREAMmatching accuracy0.99Unverified
5Direct-MGMmatching accuracy0.99Unverified
6GMT-BBGMmatching accuracy0.98Unverified
7Direct-2HGMmatching accuracy0.98Unverified
8qc-DGM2matching accuracy0.98Unverified
9NGM-v2matching accuracy0.98Unverified
10BBGMmatching accuracy0.97Unverified
#ModelMetricClaimedVerifiedStatus
1CREAMmatching accuracy0.85Unverified
2COMMONmatching accuracy0.85Unverified
3GMTRmatching accuracy0.83Unverified
4GMT-BBGMmatching accuracy0.83Unverified
5BBGMmatching accuracy0.82Unverified
6GCANmatching accuracy0.82Unverified
7NGM-v2matching accuracy0.81Unverified
8NGMmatching accuracy0.69Unverified
#ModelMetricClaimedVerifiedStatus
1GCAN-AFAT-UF1 score0.72Unverified
2GCAN-AFAT-IF1 score0.71Unverified
3NGMv2-AFAT-UF1 score0.7Unverified
4NGMv2-AFAT-IF1 score0.7Unverified
5NGMv2F1 score0.68Unverified
6PCA-GMF1 score0.58Unverified
#ModelMetricClaimedVerifiedStatus
1GCAN-AFAT-IF1 score0.73Unverified
2NGMv2-AFAT-IF1 score0.73Unverified
3NGMv2-AFAT-UF1 score0.72Unverified
4GCAN-AFAT-UF1 score0.71Unverified
5NGMv2F1 score0.7Unverified
6PCA-GMF1 score0.63Unverified
#ModelMetricClaimedVerifiedStatus
1SmatchSpearman Correlation96.57Unverified
2RematchSpearman Correlation95.32Unverified
3SemBleuSpearman Correlation94.83Unverified
4S2matchSpearman Correlation94.11Unverified
5WLKSpearman Correlation90.39Unverified
#ModelMetricClaimedVerifiedStatus
1URLF1 score0.95Unverified
2GUMBEL-IPFF1 score0.84Unverified
3IPCA-GMF1 score0.83Unverified
4GANN-MGMF1 score0.83Unverified