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 341–350 of 1192 papers

TitleStatusHype
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
End-to-end Structure-Aware Convolutional Networks for Knowledge Base CompletionCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Robust Graph Representation Learning for Local Corruption RecoveryCode0
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical StructuresCode0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Graph Representation Ensemble LearningCode0
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation LearningCode0
Graph Representation Learning via Hard and Channel-Wise Attention NetworksCode0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified