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 771–780 of 1192 papers

TitleStatusHype
Graphfool: Targeted Label Adversarial Attack on Graph Embedding—0
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding—0
REMOD: Relation Extraction for Modeling Online DiscourseCode0
Learning Visual Models using a Knowledge Graph as a Trainer—0
Representing Hierarchical Structure by Using Cone Embedding—0
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention—0
SPADE: A Spectral Method for Black-Box Adversarial Robustness EvaluationCode0
Refining a -nearest neighbor graph for a computationally efficient spectral clusteringCode0
Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery—0
Graph Classification Based on Skeleton and Component Features—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified