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 621–630 of 1192 papers

TitleStatusHype
Semantic and Expressive Variation in Image Captions Across Languages—0
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion—0
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network—0
KGpose: Keypoint-Graph Driven End-to-End Multi-Object 6D Pose Estimation via Point-Wise Pose Voting—0
CS-MLGCN : Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks—0
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding—0
Knowledge Acquisition and Completion for Long-Term Human-Robot Interactions using Knowledge Graph Embedding—0
Knowledge-enriched Two-layered Attention Network for Sentiment Analysis—0
Knowledge Graph Embedding: An Overview—0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified