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Graph Embedding
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Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.
<span style="color:grey; opacity: 0.6">( Image credit: GAT )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
Real-World Deployment of a Lane Change Prediction Architecture Based on Knowledge Graph Embeddings and Bayesian Inference
ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting
Robust Knowledge Graph Embedding via Denoising
Injecting Knowledge Graphs into Large Language Models
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
ConceptFormer: Towards Efficient Use of Knowledge-Graph Embeddings in Large Language Models
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
Embedding Method for Knowledge Graph with Densely Defined Ontology
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
Multi-dataset and Transfer Learning Using Gene Expression Knowledge Graphs
Comparison of Metadata Representation Models for Knowledge Graph Embeddings
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
How Feasible is Augmenting Fake Nodes with Learnable Features as a Counter-strategy against Link Stealing Attacks?
SoTCKGE:Continual Knowledge Graph Embedding Based on Spatial Offset Transformation
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding
Deep Cut-informed Graph Embedding and Clustering
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph
SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
FHGE: A Fast Heterogeneous Graph Embedding with Ad-hoc Meta-paths
$k$-Graph: A Graph Embedding for Interpretable Time Series Clustering
Recent Advances in Malware Detection: Graph Learning and Explainability
Spectral Journey: How Transformers Predict the Shortest Path
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
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