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 581–590 of 1192 papers

TitleStatusHype
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization—0
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge—0
Knowledge Graph Embedding: An Overview—0
Knowledge Graph Embedding Bi-Vector Models for Symmetric Relation—0
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs—0
KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting—0
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph—0
SENSEi: Input-Sensitive Compilation for Accelerating GNNs—0
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model—0
Improved Knowledge Graph Embedding using Background Taxonomic Information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified