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 801–810 of 1192 papers

TitleStatusHype
Temporal Analysis of Reddit Networks via Role Embeddings—0
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks—0
Temporal Knowledge Graph Embedding based on Multivariate Gaussian Process—0
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning—0
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing—0
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators—0
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework—0
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains—0
Directed Graph Representation through Vector Cross Product—0
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified