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Graph Matching

17 papers with code · Graphs

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graph2vec: Learning Distributed Representations of Graphs

17 Jul 2017benedekrozemberczki/graph2vec

Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs.

GRAPH CLASSIFICATION GRAPH EMBEDDING GRAPH MATCHING

MolGAN: An implicit generative model for small molecular graphs

30 May 2018nicola-decao/MolGAN

Deep generative models for graph-structured data offer a new angle on the problem of chemical synthesis: by optimizing differentiable models that directly generate molecular graphs, it is possible to side-step expensive search procedures in the discrete and vast space of chemical structures.

GRAPH MATCHING

Learning Combinatorial Embedding Networks for Deep Graph Matching

1 Apr 2019Thinklab-SJTU/PCA-GM

In addition with its NP-completeness nature, another important challenge is effective modeling of the node-wise and structure-wise affinity across graphs and the resulting objective, to guide the matching procedure effectively finding the true matching against noises.

GRAPH EMBEDDING GRAPH MATCHING

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

ACL 2019 THU-KEG/Entity_Alignment_Papers

Previous cross-lingual knowledge graph (KG) alignment studies rely on entity embeddings derived only from monolingual KG structural information, which may fail at matching entities that have different facts in two KGs.

ENTITY EMBEDDINGS GRAPH MATCHING

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences

CVPR 2019 intellhave/SDRSAC

In particular, our work enables the use of randomized methods for point cloud registration without the need of putative correspondences.

GRAPH MATCHING POINT CLOUD REGISTRATION

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences

6 Apr 2019intellhave/SDRSAC

In particular, our work enables the use of randomized methods for point cloud registration without the need of putative correspondences.

GRAPH MATCHING POINT CLOUD REGISTRATION

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection

22 Aug 2017xiaojunxu/dnn-binary-code-similarity

The problem of cross-platform binary code similarity detection aims at detecting whether two binary functions coming from different platforms are similar or not.

GRAPH EMBEDDING GRAPH MATCHING MALWARE DETECTION

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

17 Jan 2019HongtengXu/gwl

A novel Gromov-Wasserstein learning framework is proposed to jointly match (align) graphs and learn embedding vectors for the associated graph nodes.

GRAPH MATCHING

Latent Fingerprint Recognition: Role of Texture Template

27 Apr 2018luannd/MSU-LatentAFIS

We propose a texture template approach, consisting of a set of virtual minutiae, to improve the overall latent fingerprint recognition accuracy.

GRAPH MATCHING

A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems

CVPR 2017 pawelswoboda/LP_MP

We propose a general dual ascent framework for Lagrangean decomposition of combinatorial problems.

GRAPH MATCHING