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 951–960 of 1192 papers

TitleStatusHype
A Complex Network based Graph Embedding Method for Link Prediction—0
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings—0
Understanding graph embedding methods and their applications—0
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction—0
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Resilience in Knowledge Graph Embeddings—0
RESTORE: Graph Embedding Assessment Through Reconstruction—0
Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs—0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified