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 721–730 of 1192 papers

TitleStatusHype
Robust Graph Embedding with Noisy Link Weights—0
Robust Knowledge Graph Embedding via Denoising—0
RotateCT: Knowledge Graph Embedding by Rotation and Coordinate Transformation in Complex Space—0
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion—0
Rule-Guided Joint Embedding Learning over Knowledge Graphs—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
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified