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 451–475 of 1192 papers

TitleStatusHype
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
GPINN: Physics-informed Neural Network with Graph EmbeddingCode0
Contextual Dictionary Lookup for Knowledge Graph Completion—0
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs—0
ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives—0
Semantic tradeoff for heterogeneous graph embedding—0
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction—0
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model—0
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningCode0
An Investigation of Evaluation Metrics for Automated Medical Note GenerationCode0
3D Rotation and Translation for Hyperbolic Knowledge Graph EmbeddingCode0
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph EmbeddingCode0
Tight and fast generalization error bound of graph embedding in metric space—0
Semisupervised regression in latent structure networks on unknown manifolds—0
Connector 0.5: A unified framework for graph representation learningCode0
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness—0
Modality-Aware Negative Sampling for Multi-modal Knowledge Graph EmbeddingCode0
Graph Embedding Augmented Skill Rating SystemCode0
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing—0
A Comprehensive Survey on Deep Graph Representation Learning—0
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding—0
Knowledge Graph Embedding with 3D Compound Geometric TransformationsCode0
From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddingsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified