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Graph Attention

Papers

Showing 751800 of 1088 papers

TitleStatusHype
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees0
Two Stream Scene Understanding on Graph Embedding0
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction0
UniDyG: A Unified and Effective Representation Learning Approach for Large Dynamic Graphs0
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss0
Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information0
Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System0
UPTor: Unified 3D Human Pose Dynamics and Trajectory Prediction for Human-Robot Interaction0
Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture0
Using a single actor to output personalized policy for different intersections0
Using Graph Neural Networks for Program Termination0
Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures0
VectorGraphNET: Graph Attention Networks for Accurate Segmentation of Complex Technical Drawings0
NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms0
Vignat: Vulnerability identification by learning code semantics via graph attention networks0
Visual-Semantic Matching by Exploring High-Order Attention and Distraction0
Visual Traffic Knowledge Graph Generation from Scene Images0
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty0
Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting0
Weakly Supervised Learning on Large Graphs0
WebFormer: The Web-page Transformer for Structure Information Extraction0
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution0
Wind Park Power Prediction: Attention-Based Graph Networks and Deep Learning to Capture Wake Losses0
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction0
You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP0
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis0
Hyperbolic Heterogeneous Graph Attention Networks0
Hyper-relationship Learning Network for Scene Graph Generation0
Implicit Kernel Attention0
Implicit vs Unfolded Graph Neural Networks0
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach0
Improved selective background Monte Carlo simulation at Belle II with graph attention networks and weighted events0
Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words0
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network0
Improving Expressivity of Graph Neural Networks0
Improving Graph Attention Networks with Large Margin-based Constraints0
A Regularized Attention Mechanism for Graph Attention Networks0
Improving Short Utterance Anti-Spoofing with AASIST20
Improving vision-language alignment with graph spiking hybrid Networks0
Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning0
Incorporating Like-Minded Peers to Overcome Friend Data Sparsity in Session-Based Social Recommendations0
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching0
Inferring dynamic regulatory interaction graphs from time series data with perturbations0
Inherently Explainable Reinforcement Learning in Natural Language0
SENSEi: Input-Sensitive Compilation for Accelerating GNNs0
Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model0
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?0
Investigating Graph Structure Information for Entity Alignment with Dangling Cases0
Is Graph Structure Necessary for Multi-hop Question Answering?0
基于关系图注意力网络和宽度学习的负面情绪识别方法(Negative Emotion Recognition Method Based on Rational Graph Attention Network and Broad Learning)0
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