Before revision:  In face of an exponential state space, combinatorial action space and partial observability, we design RLGN, a novel tractable Reinforcement Learning (RL) scheme to prioritize which nodes should be tested , using Graph Neural Networks (GNNs) to rank the graph nodes.
After revision:  In face of an exponential state space, combinatorial action space and partial observability, we design a novel tractable Reinforcement Learning (RL) scheme to prioritize which nodes should be tested , using Graph Neural Networks (GNNs) to rank the graph nodes.