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 1061–1070 of 1192 papers

TitleStatusHype
Independent Distribution Regularization for Private Graph EmbeddingCode0
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational AssumptionsCode0
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex SpacesCode0
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph DescriptionCode0
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph EmbeddingCode0
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social ContextsCode0
Is Performance of Scholars Correlated to Their Research Collaboration Patterns?Code0
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative FilteringCode0
KBGAN: Adversarial Learning for Knowledge Graph EmbeddingsCode0
Knowledge Graph Embedding by Translating on HyperplanesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified