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Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
Network seeding for efficient information diffusion over time-varying gr...
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Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Analyzing and extracting useful information from real-world complex netw...
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Practical Kernel-Based Reinforcement Learning
Kernel-based reinforcement learning (KBRL) stands out among reinforcemen...
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