Before revision:  Our model uses an exploration tree to extract subgraphs in two graphs one node pair at a time , and is trained to optimize subgraph extraction rewards via Deep Q-Networks.
After revision:  Our model is built upon the branch and bound algorithm, which selects one pair of nodes from the two input graphs to expand at a time , and is trained to optimize subgraph extraction rewards via Deep Q-Networks.