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
Spaceland Embedding of Sparse Stochastic Graphs—0
DGEM: A New Dual-modal Graph Embedding Method in Recommendation System—0
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding—0
Spatial Autoregressive Coding for Graph Neural Recommendation—0
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction—0
Spatio-Temporal Relation Learning for Video Anomaly Detection—0
Spectral Augmentations for Graph Contrastive Learning—0
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding—0
Spectral Embedding of Graph Networks—0
Spectral Graph-based Features for Recognition of Handwritten Characters: A Case Study on Handwritten Devanagari Numerals—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified