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图注意力网络（Graph Attention Network，GAT），它通过注意力机制（Attention Mechanism）来对邻居节点做聚合操作，实现了对不同邻居权重的自适应分配，从而大大提高了图神经网络模型的表达能力。
SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes
Arxiv
0+阅读 · 6月23日
Reinforcement Learning Foundation Models Should Already Be A Thing
Reinforcement Learning Foundation Models Should Already Be A Thing
Arxiv
0+阅读 · 6月18日
SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes
Arxiv
0+阅读 · 6月17日
AI-Generated Traces for Novice Programmers: Learning Effects and Learner Differences in a Multi-Institutional Study
Arxiv
0+阅读 · 6月2日
Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response
Arxiv
0+阅读 · 6月11日
HiFiNet: Hierarchical Fault Identification in Wireless Sensor Networks via Edge-Based Classification and Graph Aggregation
Arxiv
0+阅读 · 5月5日
Steins;Gate Drive: Semantic Safety Arbitration over Structured Futures for Latency-Decoupled LLM Planning
Arxiv
0+阅读 · 5月21日
Sample-Efficient Misconfiguration Classification for Network Resilience in Wireless Communications
Arxiv
0+阅读 · 5月19日
QoS Assurance Mechanism for 5G Network Slicing Based on the Deep Reinforcement Learning PPO Algorithm
Arxiv
0+阅读 · 5月5日
Amortized Inverse Kinematics via Graph Attention for Real-Time Human Avatar Animation
Arxiv
0+阅读 · 4月17日
Sheaf Neural Networks and biomedical applications
Arxiv
0+阅读 · 3月19日
LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for Autonomous Driving Applications
Arxiv
0+阅读 · 4月2日
Spatial-Temporal Learning-Based Distributed Routing for Dynamic LEO Satellite Networks
Arxiv
0+阅读 · 5月4日
Traffic-Aware Domain Partitioning and Load-Balanced Inter-Domain Routing for LEO Satellite Networks
Arxiv
0+阅读 · 4月14日
ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
Arxiv
0+阅读 · 3月14日
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