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 961–970 of 1192 papers

TitleStatusHype
Decompressing Knowledge Graph Representations for Link PredictionCode0
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph EmbeddingCode0
DeepE: a deep neural network for knowledge graph embeddingCode0
DeepPath: A Reinforcement Learning Method for Knowledge Graph ReasoningCode0
DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic HierarchyCode0
Detect All Abuse! Toward Universal Abusive Language Detection ModelsCode0
Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation RepresentationCode0
Development of a Knowledge Graph Embeddings Model for PainCode0
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding RepresentationsCode0
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRankCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified