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 681–690 of 1192 papers

TitleStatusHype
Learning Graph Embedding with Adversarial Training Methods—0
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations—0
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding—0
A First Experiment on Including Text Literals in KGloVe—0
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge—0
Learning Heuristics for the Maximum Clique Enumeration Problem Using Low Dimensional Representations—0
Learning Visual Models using a Knowledge Graph as a Trainer—0
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing—0
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding—0
Contextual Dictionary Lookup for Knowledge Graph Completion—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified