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 241–250 of 1192 papers

TitleStatusHype
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
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Deep Cut-informed Graph Embedding and Clustering—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Recent Advances in Malware Detection: Graph Learning and Explainability—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified