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BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation
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BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation
Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy
Multi-agent systems (MAS) have shown great potential in executing complex tasks, but coordination and safety remain significant …
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Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy
Graph Contrastive Learning with Decoupled Augmentation
Graph contrastive learning based on augmentation strategies has recently demonstrated remarkable performance. Existing methods …
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Graph Contrastive Learning with Decoupled Augmentation
Homogeneous Graph Extraction: An Approach to Learning Heterogeneous Graph Embedding
Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into …
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Homogeneous Graph Extraction: An Approach to Learning Heterogeneous Graph Embedding
Semantic Embedding Graph Convolutional Networks for Multi-label Video Segment Classification
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An Approach for Neural Machine Translation with Graph Attention Network
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