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 1041–1050 of 1192 papers

TitleStatusHype
Deep Patent Landscaping Model Using Transformer and Graph Embedding—0
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs—0
Logic Rules Powered Knowledge Graph Embedding—0
Empirical effect of graph embeddings on fraud detection/ risk mitigation—0
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few LabelsCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Representation Learning with Weighted Inner Product for Universal Approximation of General SimilaritiesCode0
Deep Adversarial Network Alignment—0
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference—0
Robust Graph Embedding with Noisy Link Weights—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified