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 641–650 of 1192 papers

TitleStatusHype
Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation LearningCode0
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules—0
Fast Computation of Generalized Eigenvectors for Manifold Graph Embedding—0
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed—0
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph EmbeddingsCode0
Controversy Detection: a Text and Graph Neural Network Based Approach—0
Joint Modeling of Visual Objects and Relations for Scene Graph Generation—0
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images—0
MDistMult: A Multiple Scoring Functions Model for Link Prediction on Antiviral Drugs Knowledge Graph—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified