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 181–190 of 1192 papers

TitleStatusHype
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
Graph-Embedding Empowered Entity RetrievalCode1
Learning Geo-Contextual Embeddings for Commuting Flow PredictionCode1
SEEK: Segmented Embedding of Knowledge GraphsCode1
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph EmbeddingsCode1
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph CompletionCode1
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic LiftingCode1
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental ProtocolCode1
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral ImageCode1
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified