SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1171–1180 of 1192 papers

TitleStatusHype
Graph U-Net—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
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM—0
Grassmann Graph Embedding—0
GREG: A Global Level Relation Extraction with Knowledge Graph Embedding—0
Group Representation Theory for Knowledge Graph Embedding—0
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning—0
Spectral Augmentations for Graph Contrastive Learning—0
Show:102550
← PrevPage 118 of 120Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified