SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

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Papers

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Showing 231–240 of 1192 papers

TitleStatusHype
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting—0
Robust Knowledge Graph Embedding via Denoising—0
Injecting Knowledge Graphs into Large Language Models—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified