SOTAVerified

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 1091–1100 of 1192 papers

TitleStatusHype
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network—0
Leveraging Knowledge Graph Embedding Techniques for Industry 4.0 Use Cases—0
A First Experiment on Including Text Literals in KGloVe—0
Hierarchical stochastic graphlet embedding for graph-based pattern recognitionCode0
One-Class Kernel Spectral Regression—0
Knowledge Graph Embedding with Numeric Attributes of Entities—0
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis—0
Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical StudyCode0
On representation power of neural network-based graph embedding and beyond—0
What the Vec? Towards Probabilistically Grounded Embeddings—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified