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 1051–1060 of 1192 papers

TitleStatusHype
Fast Generating A Large Number of Gumbel-Max Variables—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Neural IR Meets Graph Embedding: A Ranking Model for Product Search—0
Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph—0
Feature Learning for Meta-Paths in Knowledge Graphs—0
SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs—0
Feature Propagation on Graph: A New Perspective to Graph Representation Learning—0
Domain Representation for Knowledge Graph Embedding—0
Domain and Range Aware Synthetic Negatives Generation for Knowledge Graph Embedding Models—0
FedSheafHN: Personalized Federated Learning on Graph-structured Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified