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 501–510 of 1192 papers

TitleStatusHype
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning—0
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs—0
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms—0
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding—0
Topologically Regularized Data EmbeddingsCode0
Predicting missing annotations in Gene Ontology with Knowledge Graph Embeddings and True Path RuleCode0
Cross Version Defect Prediction with Class Dependency Embeddings—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Multi-view Graph Convolutional Networks with Differentiable Node Selection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified