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 511–520 of 1192 papers

TitleStatusHype
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs—0
Injecting Knowledge Graphs into Large Language Models—0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Can Knowledge Graph Embeddings Tell Us What Fact-checked Claims Are About?—0
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling—0
Efficient Hyper-parameter Search for Knowledge Graph Embedding—0
Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified