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 291–300 of 1192 papers

TitleStatusHype
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
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
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