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 471–480 of 1192 papers

TitleStatusHype
MixKG: Mixing for harder negative samples in knowledge graph—0
HousE: Knowledge Graph Embedding with Householder ParameterizationCode1
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation—0
Robust Graph Representation Learning for Local Corruption RecoveryCode0
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities—0
Rethinking Graph Convolutional Networks in Knowledge Graph CompletionCode1
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning—0
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding—0
Heterogeneous manifolds for curvature-aware graph embedding—0
PPPNE: Personalized proximity preserved network embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified