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On Dimension in Graph Convolutional Networks for Distinguishing Random Graph Models.

. ISIT, page 1817-1822. IEEE, (2021)

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Entropy of some general plane trees., , and . ISIT, page 301-305. IEEE, (2017)On Dimension in Graph Convolutional Networks for Distinguishing Random Graph Models.. ISIT, page 1817-1822. IEEE, (2021)Compression of Dynamic Graphs Generated by a Duplication Model., , and . Allerton, page 1089-1096. IEEE, (2018)Empirical Risk Minimization and Uniform Convergence for Probabilistically Observed and Quantum Measurement Hypothesis Classes., and . ISIT, page 563-568. IEEE, (2024)PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 11305-11319. PMLR, (2022)The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version., , and . CoRR, (2020)Asymmetry and structural information in preferential attachment graphs., , and . Random Struct. Algorithms, 55 (3): 696-718 (2019)Toward universal testing of dynamic network models., and . ALT, volume 117 of Proceedings of Machine Learning Research, page 615-633. PMLR, (2020)Expected External Profile of PATRICIA Tries., , and . ANALCO, page 16-24. SIAM, (2014)Phase transitions in a sequence-structure channel., , and . ITA, page 235-239. IEEE, (2015)