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Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
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Learning Graph Embedding With Adversarial Training Methods
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Learning Flexible Graph-Based Semi-Supervised Embedding
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Deep Reinforcement Learning for Multiobjective Optimization
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A Multi-Scale Approach for Graph Link Prediction
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Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
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RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism
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An obstacle avoidance-specific reinforcement learning method based on fuzzy attention mechanism and heterogeneous graph neural networks
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KPI-HGNN: Key provenance identification based on a heterogeneous graph neural network for big data access control
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Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks
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