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 911–920 of 1192 papers

TitleStatusHype
Random Manifold Sampling and Joint Sparse Regularization for Multi-label Feature Selection—0
TripleRE: Knowledge Graph Embeddings via Tripled Relation Vectors—0
Triplet-Aware Scene Graph Embeddings—0
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion—0
Rating and aspect-based opinion graph embeddings for explainable recommendations—0
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation—0
Wasserstein Adversarial Learning based Temporal Knowledge Graph Embedding—0
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding—0
ReadE: Learning Relation-Dependent Entity Representation for Knowledge Graph Completion—0
Attention Regularized Laplace Graph for Domain Adaptation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified