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 226–250 of 1192 papers

TitleStatusHype
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph EmbeddingCode0
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature AggregationCode0
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings—0
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting—0
Robust Knowledge Graph Embedding via Denoising—0
Injecting Knowledge Graphs into Large Language Models—0
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers—0
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding—0
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic DecompositionCode0
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion—0
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link PredictionCode0
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram ModelCode0
Multi-dataset and Transfer Learning Using Gene Expression Knowledge GraphsCode0
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model—0
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and EmbeddingCode0
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?—0
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Deep Cut-informed Graph Embedding and Clustering—0
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths—0
Recent Advances in Malware Detection: Graph Learning and Explainability—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified