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 761–770 of 1192 papers

TitleStatusHype
Mixture-of-Graphs: Zero-shot Relational Learning for Knowledge Graph by Fusing Ontology and Textual Experts—0
MöbiusE: Knowledge Graph Embedding on Möbius Ring—0
Whom to Learn From? Graph- vs. Text-based Word Embeddings—0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Modeling Pharmacological Effects with Multi-Relation Unsupervised Graph Embedding—0
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis—0
Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding—0
ModulE: Module Embedding for Knowledge Graphs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified