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 231–240 of 1192 papers

TitleStatusHype
Independent Distribution Regularization for Private Graph EmbeddingCode0
Graph Relation Aware Continual Learning—0
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule LearningCode1
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?—0
Biomedical Knowledge Graph Embeddings with Negative StatementsCode0
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case—0
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies—0
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM—0
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding—0
Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified