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 941–950 of 1192 papers

TitleStatusHype
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding SpaceCode1
Group Representation Theory for Knowledge Graph Embedding—0
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network—0
Composing Knowledge Graph Embeddings via Word Embeddings—0
Structured Query Construction via Knowledge Graph Embedding—0
Graph Representation Ensemble LearningCode0
Parallel Computation of Graph Embeddings—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
Graph Representation Learning: A SurveyCode0
Embedding Symbolic Knowledge into Deep NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified