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 231–240 of 1192 papers

TitleStatusHype
A Unified Framework for Cross-Domain and Cross-System Recommendations—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
A unified framework based on graph consensus term for multi-view learning—0
Deep Adversarial Network Alignment—0
A Deep Graph Embedding Network Model for Face Recognition—0
Embedding Knowledge Graph of Patent Metadata to Measure Knowledge Proximity—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified