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Graph Attention

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Showing 51–75 of 1088 papers

TitleStatusHype
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality AssessmentCode0
Semantic-Spatial Feature Fusion with Dynamic Graph Refinement for Remote Sensing Image Captioning—0
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles—0
Combining Graph Attention Networks and Distributed Optimization for Multi-Robot Mixed-Integer Convex Programming—0
GPT Meets Graphs and KAN Splines: Testing Novel Frameworks on Multitask Fine-Tuned GPT-2 with LoRA—0
Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks—0
Peer Disambiguation in Self-Reported Surveys using Graph Attention NetworksCode0
Multi-Modality Representation Learning for Antibody-Antigen Interactions PredictionCode3
Lyapunov-Based Graph Neural Networks for Adaptive Control of Multi-Agent Systems—0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network—0
Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations—0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems—0
Weighted Graph Structure Learning with Attention Denoising for Node ClassificationCode0
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image AnalysisCode0
Predicting Stock Movement with BERTweet and Transformers—0
Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System—0
Using a single actor to output personalized policy for different intersections—0
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities—0
Personalized Federated Learning via Learning Dynamic Graphs—0
Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between ProteinsCode0
DA-STGCN: 4D Trajectory Prediction Based on Spatiotemporal Feature Extraction—0
Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks—0
GRAIN: Exact Graph Reconstruction from GradientsCode0
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion DetectionCode1
Scalable Graph Attention-based Instance Selection via Mini-Batch Sampling and Hierarchical Hashing—0
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