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Graph Attention

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Showing 851–900 of 1088 papers

TitleStatusHype
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation—0
End2End Multi-View Feature Matching with Differentiable Pose Optimization—0
End to End Chinese Lexical Fusion Recognition with Sememe Knowledge—0
End-to-End Chinese Parsing Exploiting Lexicons—0
Energy-Efficient Cellular-Connected UAV Swarm Control Optimization—0
Enhancing Cognitive Diagnosis by Modeling Learner Cognitive Structure State—0
Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning—0
Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images—0
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling—0
Enhancing Short-Term Wind Speed Forecasting using Graph Attention and Frequency-Enhanced Mechanisms—0
Enhancing Speech Emotion Recognition with Graph-Based Multimodal Fusion and Prosodic Features for the Speech Emotion Recognition in Naturalistic Conditions Challenge at Interspeech 2025—0
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification—0
EPGAT: Gene Essentiality Prediction With Graph Attention Networks—0
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction—0
Equivariant Graph Attention Networks for Molecular Property Prediction—0
Event Extraction by Associating Event Types and Argument Roles—0
Event-Triggered GAT-LSTM Framework for Attack Detection in Heating, Ventilation, and Air Conditioning Systems—0
Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks—0
Explainable and Position-Aware Learning in Digital Pathology—0
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction—0
Exploiting Edge Features for Graph Neural Networks—0
Exploiting Edge Features in Graph Neural Networks—0
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning—0
Exploring Explainability Methods for Graph Neural Networks—0
Exploring Sentence Community for Document-Level Event Extraction—0
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling—0
Extracting Alpha from Financial Analyst Networks—0
Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning—0
Extracting Physical Causality from Measurements to Detect and Localize False Data Injection Attacks—0
Face Forgery Detection Based on Facial Region Displacement Trajectory Series—0
Factor Investing with a Deep Multi-Factor Model—0
FairGAT: Fairness-aware Graph Attention Networks—0
Faithful Interpretation for Graph Neural Networks—0
Fast fixed-backbone protein sequence and rotamer design—0
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification—0
Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks—0
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR—0
Feature-based Graph Attention Networks Improve Online Continual Learning—0
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness—0
Federated Graph Learning for Cross-Domain Recommendation—0
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation—0
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks—0
Feedback Graph Attention Convolutional Network for Medical Image Enhancement—0
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design—0
Few-Shot Semantic Segmentation with Democratic Attention Networks—0
FGATT: A Robust Framework for Wireless Data Imputation Using Fuzzy Graph Attention Networks and Transformer Encoders—0
Fighter flight trajectory prediction based on spatio-temporal graphcial attention network—0
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation—0
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data—0
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning—0
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