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
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization—0
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework—0
Semantically Enhanced Models for Commonsense Knowledge Acquisition—0
On2Vec: Embedding-based Relation Prediction for Ontology Population—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
Multi-View Graph Embedding Using Randomized Shortest Paths—0
Learning Graph Embeddings from WordNet-based Similarity Measures—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified