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 641–650 of 1192 papers

TitleStatusHype
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties—0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Survey on Embedding Models for Knowledge Graph and its Applications—0
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention—0
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings—0
Knowledge Graph Embedding via Graph Attenuated Attention Networks—0
NagE: Non-Abelian Group Embedding for Knowledge Graphs—0
Systematic Biases in Link Prediction: comparing heuristic and graph embedding based methods—0
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model—0
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified