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Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 1151–1192 of 1192 papers

TitleStatusHype
Efficient Parallel Translating Embedding For Knowledge GraphsCode0
ParaGraphE: A Library for Parallel Knowledge Graph EmbeddingCode0
Semi-supervised multi-label feature selection via label correlation analysis with l1-norm graph embeddingCode0
Kernel classification of connectomes based on earth mover's distance between graph spectra—0
Knowledge Graph Representation with Jointly Structural and Textual Encoding—0
Jointly Embedding Knowledge Graphs and Logical Rules—0
From Node Embedding To Community EmbeddingCode0
Semi-supervised Graph Embedding Approach to Dynamic Link Prediction—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
TransG : A Generative Model for Knowledge Graph Embedding—0
A Translation-Based Knowledge Graph Embedding Preserving Logical Property of Relations—0
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions—0
Graph-based Predictable Feature Analysis—0
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction—0
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation—0
Locally Adaptive Translation for Knowledge Graph Embedding—0
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization—0
ProtNN: Fast and Accurate Nearest Neighbor Protein Function Prediction based on Graph Embedding in Structural and Topological Space—0
TransA: An Adaptive Approach for Knowledge Graph Embedding—0
TransG : A Generative Mixture Model for Knowledge Graph Embedding—0
Context-Dependent Knowledge Graph Embedding—0
Scalable Out-of-Sample Extension of Graph Embeddings Using Deep Neural Networks—0
Knowledge Graph Embedding via Dynamic Mapping MatrixCode0
Semantically Smooth Knowledge Graph Embedding—0
Knowlege Graph Embedding by Flexible Translation—0
Cross-validation of matching correlation analysis by resampling matching weights—0
LINE: Large-scale Information Network EmbeddingCode1
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding—0
Transition-based Knowledge Graph Embedding with Relational Mapping Properties—0
A Deep Graph Embedding Network Model for Face Recognition—0
Knowledge Graph Embedding by Translating on HyperplanesCode0
Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs—0
Coarse-to-Fine Classification via Parametric and Nonparametric Models for Computer-Aided Diagnosis—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Embedding Graphs under Centrality Constraints for Network Visualization—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
Spectral Clustering for Divide-and-Conquer Graph MatchingCode0
Out-of-sample Extension for Latent Position Graphs—0
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning—0
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators—0
Learning a Distance Metric from a Network—0
Dimensionality Reduction for Data in Multiple Feature Representations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified