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Graph Attention

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Showing 276–300 of 1088 papers

TitleStatusHype
Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks—0
BrainMAE: A Region-aware Self-supervised Learning Framework for Brain Signals—0
Diagonal Graph Convolutional Networks with Adaptive Neighborhood Aggregation—0
Brain-Cognition Fingerprinting via Graph-GCCA with Contrastive Learning—0
Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory—0
Accessible Gesture-Driven Augmented Reality Interaction System—0
D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention—0
Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT—0
Enhancing Factual Consistency of Abstractive Summarization—0
Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph—0
Analysis of Information Propagation in Ethereum Network Using Combined Graph Attention Network and Reinforcement Learning to Optimize Network Efficiency and Scalability—0
3D Hand Reconstruction via Aggregating Intra and Inter Graphs Guided by Prior Knowledge for Hand-Object Interaction Scenario—0
Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks—0
Detecting fake news by enhanced text representation with multi-EDU-structure awareness—0
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch—0
Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention—0
Detecting Anomalous Cryptocurrency Transactions: an AML/CFT Application of Machine Learning-based Forensics—0
Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning—0
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models—0
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design—0
Few-Shot Semantic Segmentation with Democratic Attention Networks—0
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning—0
Understanding Multistationarity of Fully Open Reaction Networks—0
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification—0
Demystifying Oversmoothing in Attention-Based Graph Neural Networks—0
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