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 71–80 of 1192 papers

TitleStatusHype
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs—0
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph EmbeddingCode0
A Pluggable Common Sense-Enhanced Framework for Knowledge Graph Completion—0
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain—0
Whole-Graph Representation Learning For the Classification of Signed NetworksCode0
Knowledge Graph Embedding by Normalizing FlowsCode1
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings—0
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing—0
Self-Supervised Graph Embedding Clustering—0
Embedding Knowledge Graph in Function Spaces—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified