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 1101–1110 of 1192 papers

TitleStatusHype
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph EmbeddingCode0
Model-based Subsampling for Knowledge Graph CompletionCode0
Molecule Property Prediction Based on Spatial Graph EmbeddingCode0
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs EmbeddingCode0
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional NetworksCode0
Multi-Paradigm Analysis of Thai Capital Market Linkages: Bivariate/Vine Copulas, Granger Causality, Network Centrality, and Graph Neural Network/Graph Embedding ApproachesCode0
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph EmbeddingsCode0
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few LabelsCode0
Multi-Task Feature Learning for Knowledge Graph Enhanced RecommendationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified