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 831–840 of 1192 papers

TitleStatusHype
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications—0
On2Vec: Embedding-based Relation Prediction for Ontology Population—0
One-Class Kernel Spectral Regression—0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
On Masked Language Models for Contextual Link Prediction—0
On representation power of neural network-based graph embedding and beyond—0
On Self-Distilling Graph Neural Network—0
Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts—0
On The Expressive Power of Knowledge Graph Embedding Methods—0
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified