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 761–770 of 1192 papers

TitleStatusHype
Spectral Embedding of Graph Networks—0
Weight Prediction for Variants of Weighted Directed Networks—0
Multi-Relational Embedding for Knowledge Graph Representation and AnalysisCode1
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational AssumptionsCode0
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding—0
Multi-View Brain HyperConnectome AutoEncoder For Brain State ClassificationCode1
Scalable Recommendation of Wikipedia Articles to Editors Using Representation LearningCode0
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs—0
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction—0
Force2Vec: Parallel force-directed graph embeddingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified