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 1161–1170 of 1192 papers

TitleStatusHype
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified