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Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation., , , , and . NeurIPS, page 6412-6422. (2018)G2SAT: Learning to Generate SAT Formulas., , , , and . NeurIPS, page 10552-10563. (2019)An effective simulation model for multi-line metro systems based on origin-destination data., , , and . ITSC, page 348-353. IEEE, (2016)Position-aware Graph Neural Networks., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7134-7143. PMLR, (2019)GNNExplainer: Generating Explanations for Graph Neural Networks., , , , and . NeurIPS, page 9240-9251. (2019)GraphRNN: A Deep Generative Model for Graphs., , , , and . CoRR, (2018)Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems., , , , , and . WWW, page 2236-2246. ACM, (2019)Hierarchical Graph Representation Learning with Differentiable Pooling., , , , , and . NeurIPS, page 4805-4815. (2018)GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5694-5703. PMLR, (2018)Hierarchical Graph Representation Learning with Differentiable Pooling., , , , , and . CoRR, (2018)