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 31–40 of 1192 papers

TitleStatusHype
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model—0
Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining—0
Large Language Models for Knowledge Graph Embedding Techniques, Methods, and Challenges: A Survey—0
SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models—0
Structure-Preference Enabled Graph Embedding Generation under Differential PrivacyCode0
Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image—0
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge GraphsCode1
GAN-TAT: A Novel Framework Using Protein Interaction Networks in Druggable Gene IdentificationCode0
Efficient Relational Context Perception for Knowledge Graph Completion—0
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified