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Graph Attention

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Showing 326–350 of 1088 papers

TitleStatusHype
Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads—0
Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural Learning—0
ExeChecker: Where Did I Go Wrong?Code0
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation—0
3D Graph Attention Networks for High Fidelity Pediatric Glioma Segmentation—0
GABAR: Graph Attention-Based Action Ranking for Relational Policy Learning—0
Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks—0
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles—0
Towards the efficacy of federated prediction for epidemics on networksCode0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
CSP-AIT-Net: A contrastive learning-enhanced spatiotemporal graph attention framework for short-term metro OD flow prediction with asynchronous inflow tracking—0
Long text outline generation: Chinese text outline based on unsupervised framework and large language mode—0
CONCERTO: Complex Query Execution Mechanism-Aware Learned Cost Estimation—0
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity GraphCode0
Heterogeneous Relationships of Subjects and Shapelets for Semi-supervised Multivariate Series Classification—0
LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action RecognitionCode0
Perturbation Ontology based Graph Attention Networks—0
Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification—0
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs—0
Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network—0
Higher Order Graph Attention Probabilistic Walk Networks—0
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision TransformersCode0
Flow reconstruction in time-varying geometries using graph neural networks—0
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes—0
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling—0
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