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 791–800 of 1192 papers

TitleStatusHype
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model—0
Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization—0
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning—0
Structured Query Construction via Knowledge Graph Embedding—0
Dimensionality Reduction for Data in Multiple Feature Representations—0
Subsampling for Knowledge Graph Embedding Explained—0
Survey on Embedding Models for Knowledge Graph and its Applications—0
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings—0
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified