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 121–130 of 1192 papers

TitleStatusHype
A Canonicalization Perspective on Invariant and Equivariant LearningCode0
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
Causal-aware Graph Neural Architecture Search under Distribution Shifts—0
FedSheafHN: Personalized Federated Learning on Graph-structured Data—0
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network—0
Adaptive Fuzzy C-Means with Graph Embedding—0
Simplicity within biological complexity—0
Harmonizing Human Insights and AI Precision: Hand in Hand for Advancing Knowledge Graph Task—0
Generalizing Knowledge Graph Embedding with Universal Orthogonal ParameterizationCode1
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified