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 426–450 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
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
MRA-GNN: Minutiae Relation-Aware Model over Graph Neural Network for Fingerprint Embedding—0
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM—0
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
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
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
Source-Aware Embedding Training on Heterogeneous Information Networks—0
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformersCode0
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion FunctionalsCode0
SENSEi: Input-Sensitive Compilation for Accelerating GNNs—0
A Decade of Scholarly Research on Open Knowledge GraphsCode0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified