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 331–340 of 1192 papers

TitleStatusHype
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor DecompositionCode0
Multi-view Graph Convolutional Networks with Differentiable Node Selection—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples—0
Dissimilar Nodes Improve Graph Active LearningCode0
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations—0
Self Supervised Clustering of Traffic Scenes using Graph Representations—0
BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph CompletionCode1
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified