SOTAVerified

Graph Embedding

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

( Image credit: GAT )

Papers

Showing 411420 of 1192 papers

TitleStatusHype
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
Boosting Code Summarization by Embedding Code StructuresCode0
Fully Hyperbolic Rotation for Knowledge Graph EmbeddingCode0
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment AnalysisCode0
DUPLEX: Dual GAT for Complex Embedding of Directed GraphsCode0
Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph EmbeddingCode0
GraphVAE: Towards Generation of Small Graphs Using Variational AutoencodersCode0
Do Similar Entities have Similar Embeddings?Code0
Graph U-NetsCode0
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0Unverified