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 861–870 of 1192 papers

TitleStatusHype
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
GraphTTS: graph-to-sequence modelling in neural text-to-speech—0
Adaptive Graph Auto-Encoder for General Data ClusteringCode1
When Radiology Report Generation Meets Knowledge Graph—0
Inductive Representation Learning on Temporal GraphsCode1
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook—0
Investigating Extensions to Random Walk Based Graph Embedding—0
Predicting event attendance exploring social influence—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Learning graph representations of biochemical networks and its application to enzymatic link predictionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified