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 401–410 of 1192 papers

TitleStatusHype
FREDE: Anytime Graph Embeddings—0
Citation Trajectory Prediction via Publication Influence Representation Using Temporal Knowledge Graph—0
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories—0
Conformal Prediction for Network-Assisted Regression—0
From communities to interpretable network and word embedding: an unified approach—0
From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules—0
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma—0
Consistent Multiple Graph Embedding for Multi-View Clustering—0
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models—0
AprilE: Attention with Pseudo Residual Connection for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified