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 631–640 of 1192 papers

TitleStatusHype
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings—0
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding—0
Out-of-sample Extension for Latent Position Graphs—0
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods—0
Overcoming Data Sparsity in Group Recommendation—0
Data-driven Smart Ponzi Scheme Detection—0
P^2IR: Universal Deep Node Representation via Partial Permutation Invariant Set Functions—0
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks—0
Data-Efficient Graph Embedding Learning for PCB Component Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified