SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

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Papers

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Showing 651–660 of 1192 papers

TitleStatusHype
Knowledge Graph Embedding with Hierarchical Relation Structure—0
Temporal Analysis of Reddit Networks via Role Embeddings—0
Cross-Modal Contextualized Hidden State Projection Method for Expanding of Taxonomic Graphs—0
Knowledge Graph Embedding with Multiple Relation Projections—0
Knowledge Graph Embedding with Numeric Attributes of Entities—0
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks—0
A Group-Theoretic Framework for Knowledge Graph Embedding—0
Knowledge Graph Representation with Jointly Structural and Textual Encoding—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Knowlege Graph Embedding by Flexible Translation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified