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GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.

, , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5694-5703. PMLR, (2018)

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Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences., , , and . Symposium on Computational Geometry, volume 51 of LIPIcs, page 6:1-6:16. Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, (2016)GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks., , , , and . CoRR, (2019)Improving Graph Attention Networks with Large Margin-based Constraints., , , and . CoRR, (2019)Hierarchical Graph Representation Learning with Differentiable Pooling., , , , , and . CoRR, (2018)Approximating Dynamic Time Warping and Edit Distance for a Pair of Point Sequences., , , and . CoRR, (2015)Redundancy-Free Computation Graphs for Graph Neural Networks., , , , , and . CoRR, (2019)Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation., , , , and . CoRR, (2018)A simple efficient approximation algorithm for dynamic time warping., , , and . SIGSPATIAL/GIS, page 21:1-21:10. ACM, (2016)Position-aware Graph Neural Networks., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7134-7143. PMLR, (2019)Inductive Representation Learning on Large Graphs., , and . CoRR, (2017)