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 781–790 of 1192 papers

TitleStatusHype
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings—0
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis—0
TorusE: Knowledge Graph Embedding on a Lie Group—0
Multidimensional Hopfield Networks for clustering—0
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis—0
Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network—0
A Comprehensive Survey on Community Detection with Deep Learning—0
MULTI-LEVEL APPROACH TO ACCURATE AND SCALABLE HYPERGRAPH EMBEDDING—0
Class Granularity: How richly does your knowledge graph represent the real world?—0
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified