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 251275 of 477 papers

TitleStatusHype
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation0
One-shot Key Information Extraction from Document with Deep Partial Graph Matching0
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding SpacesCode0
Matching with Transformers in MELT0
Joint Graph Learning and Matching for Semantic Feature CorrespondenceCode0
Weisfeiler-Leman in the BAMBOO: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity0
Adaptive Edge Attention for Graph Matching with OutliersCode0
Deep graph matching meets mixed-integer linear programming: Relax at your own risk ?Code0
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities0
Adiabatic Quantum Graph Matching with Permutation Matrix Constraints0
3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching0
Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval0
G2DA: Geometry-Guided Dual-Alignment Learning for RGB-Infrared Person Re-Identification0
Stochastic Iterative Graph MatchingCode0
IA-GM: A Deep Bidirectional Learning Method for Graph Matching0
Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features0
VersaGNN: a Versatile accelerator for Graph neural networks0
GM-MLIC: Graph Matching based Multi-Label Image Classification0
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning0
Integrating 2D and 3D Digital Plant Information Towards Automatic Generation of Digital Twins0
Permutation-Invariant Subgraph DiscoveryCode0
Graph Matching and Graph Rewriting: GREW tools for corpus exploration, maintenance and conversion0
Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections0
Probabilistic Analogical Mapping with Semantic Relation Networks0
Applying graph matching techniques to enhance reuse of plant design information0
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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