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 11–20 of 1192 papers

TitleStatusHype
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model—0
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingCode0
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified