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 411–420 of 1192 papers

TitleStatusHype
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction—0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
Contextual Dictionary Lookup for Knowledge Graph Completion—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance—0
ChronoR: Rotation Based Temporal Knowledge Graph Embedding—0
Graph Pattern Entity Ranking Model for Knowledge Graph Completion—0
GARNET: A Spectral Approach to Robust and Scalable Graph Neural Networks—0
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified