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 561–570 of 1192 papers

TitleStatusHype
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
A Complex Network based Graph Embedding Method for Link Prediction—0
Knowledge-enriched Two-layered Attention Network for Sentiment Analysis—0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Jointly Embedding Knowledge Graphs and Logical Rules—0
Binarized Graph Neural Network—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Joint Embedding Learning of Educational Knowledge Graphs—0
Improving embedding of graphs with missing data by soft manifolds—0
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified