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 971–980 of 1192 papers

TitleStatusHype
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
Association Rules Enhanced Knowledge Graph Attention Network—0
A Simple Spectral Failure Mode for Graph Convolutional Networks—0
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion—0
Rule-Guided Joint Embedding Learning over Knowledge Graphs—0
A simple coding for cross-domain matching with dimension reduction via spectral graph embedding—0
Runtime Performances Benchmark for Knowledge Graph Embedding Methods—0
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation—0
SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models—0
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified