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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 226–250 of 1192 papers

TitleStatusHype
RESTORE: Graph Embedding Assessment Through Reconstruction—0
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph EmbeddingCode0
Graph isomorphism UNetCode0
DySuse: Susceptibility Estimation in Dynamic Social Networks—0
Development of a Knowledge Graph Embeddings Model for PainCode0
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
HUGE: Huge Unsupervised Graph Embeddings with TPUs—0
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
CausE: Towards Causal Knowledge Graph EmbeddingCode1
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance LearningCode0
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generatorsCode0
IntelliGraphs: Datasets for Benchmarking Knowledge Graph GenerationCode1
Source-Aware Embedding Training on Heterogeneous Information Networks—0
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified