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MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU
Arxiv
0+阅读 · 3月28日
Data-driven modeling of fluid flow around rotating structures with graph neural networks
Arxiv
0+阅读 · 3月28日
Comparing Methods for Bias Mitigation in Graph Neural Networks
Comparing Methods for Bias Mitigation in Graph Neural Networks
Arxiv
0+阅读 · 3月28日
Efficient Data Selection for Training Genomic Perturbation Models
Arxiv
0+阅读 · 3月28日
Graph-to-Vision: Multi-graph Understanding and Reasoning using Vision-Language Models
Arxiv
0+阅读 · 3月27日
Fusion of Graph Neural Networks via Optimal Transport
Arxiv
0+阅读 · 3月27日
A Logic for Reasoning About Aggregate-Combine Graph Neural Networks
Arxiv
0+阅读 · 3月27日
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
Arxiv
0+阅读 · 3月21日
Survey on Generalization Theory for Graph Neural Networks
Arxiv
0+阅读 · 3月19日
Graph-Guided Textual Explanation Generation Framework
Arxiv
0+阅读 · 3月20日
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
Arxiv
0+阅读 · 3月11日
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
Arxiv
0+阅读 · 3月2日
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
Arxiv
0+阅读 · 3月12日
Node-Time Conditional Prompt Learning In Dynamic Graphs
Arxiv
0+阅读 · 3月3日
Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks
Arxiv
0+阅读 · 3月5日
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