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 371–380 of 1192 papers

TitleStatusHype
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsCode0
Spoofing Detection in the Physical Layer with Graph Neural Networks—0
Temporal Link Prediction Using Graph Embedding DynamicsCode0
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphs—0
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding—0
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph EmbeddingCode0
Hierarchical Aggregations for High-Dimensional Multiplex Graph EmbeddingCode0
RDF-star2Vec: RDF-star Graph Embeddings for Data MiningCode0
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm—0
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified