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 291–300 of 1192 papers

TitleStatusHype
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification—0
Learning Visual Models using a Knowledge Graph as a Trainer—0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
A Survey on Graph Representation Learning Methods—0
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Contextual Dictionary Lookup for Knowledge Graph Completion—0
Context-Dependent Knowledge Graph Embedding—0
A Survey on Embedding Dynamic Graphs—0
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified