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 421–430 of 1192 papers

TitleStatusHype
Grassmann Graph Embedding—0
GEFF: Graph Embedding for Functional Fingerprinting—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction—0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
Generalized Graph Embedding Models—0
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity—0
Embedding Knowledge Graph in Function Spaces—0
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs—0
A First Experiment on Including Text Literals in KGloVe—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified