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 711–720 of 1192 papers

TitleStatusHype
Consistent Multiple Graph Embedding for Multi-View Clustering—0
Conformal Prediction for Network-Assisted Regression—0
Conformalized Answer Set Prediction for Knowledge Graph Embedding—0
Lifelog Patterns Analyzation using Graph Embedding based on Deep Neural Network—0
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding—0
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search—0
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting—0
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings—0
CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations—0
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified