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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 251–300 of 1192 papers

TitleStatusHype
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion FunctionalsCode0
SENSEi: Input-Sensitive Compilation for Accelerating GNNs—0
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation RotationCode1
A Decade of Scholarly Research on Open Knowledge GraphsCode0
TuckerDNCaching: high-quality negative sampling with tucker decompositionCode0
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method—0
GPINN: Physics-informed Neural Network with Graph EmbeddingCode0
Contextual Dictionary Lookup for Knowledge Graph Completion—0
Schema First! Learn Versatile Knowledge Graph Embeddings by Capturing Semantics with MASCHInECode1
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
HetReGAT-FC: heterogeneous residual graph attention network via feature completionCode0
Semantic tradeoff for heterogeneous graph embedding—0
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model—0
Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction—0
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy TasksCode0
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksCode1
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningCode0
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with TransformersCode1
An Investigation of Evaluation Metrics for Automated Medical Note GenerationCode0
How to Turn Your Knowledge Graph Embeddings into Generative ModelsCode1
3D Rotation and Translation for Hyperbolic Knowledge Graph EmbeddingCode0
Friendly Neighbors: Contextualized Sequence-to-Sequence Link PredictionCode1
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
Synergistic Graph Fusion via Encoder EmbeddingCode1
From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddingsCode0
Joint embedding in Hierarchical distance and semantic representation learning for link prediction—0
Distributed Graph Embedding with Information-Oriented Random WalksCode0
Farspredict: A benchmark dataset for link prediction—0
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question AnsweringCode0
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding—0
SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph GenerationCode1
CS-TGN: Community Search via Temporal Graph Neural NetworksCode0
NESS: Node Embeddings from Static SubGraphsCode1
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery—0
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link PredictionCode1
Diversity matters: Robustness of bias measurements in WikidataCode0
A parameter-free graph reduction for spectral clustering and SpectralNetCode0
Random projection tree similarity metric for SpectralNetCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified