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 611–620 of 1192 papers

TitleStatusHype
Joint Embedding Learning of Educational Knowledge Graphs—0
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach—0
Jointly Embedding Knowledge Graphs and Logical Rules—0
Curvature Regularization to Prevent Distortion in Graph Embedding—0
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs—0
Subsampling for Knowledge Graph Embedding Explained—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
Kernel classification of connectomes based on earth mover's distance between graph spectra—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified