Controlling the multifractal generating measures of complex networks R Yang, P Bogdan Scientific reports 10 (1), 5541, 2020 | 25 | 2020 |

Hidden network generating rules from partially observed complex networks R Yang, F Sala, P Bogdan Communications Physics 4 (1), 199, 2021 | 21 | 2021 |

Efficient Representation Learning for Higher-Order Data with Simplicial Complexes R Yang, F Sala, P Bogdan The First Learning on Graphs Conference, 2022 | 19 | 2022 |

MassComp, a lossless compressor for mass spectrometry data R Yang, X Chen, I Ochoa BMC bioinformatics 20, 1-10, 2019 | 9 | 2019 |

Data-driven perception of neuron point process with unknown unknowns R Yang, G Gupta, P Bogdan Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019 | 6 | 2019 |

Coupled multiwavelet neural operator learning for coupled partial differential equations X Xiao, D Cao, R Yang, G Gupta, G Liu, C Yin, R Balan, P Bogdan arXiv preprint arXiv:2303.02304, 2023 | 5 | 2023 |

Coupled multiwavelet operator learning for coupled differential equations X Xiao, D Cao, R Yang, G Gupta, G Liu, C Yin, R Balan, P Bogdan The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |

Graph Theoretical Description of Phase Transitions in Complex Multiscale Phases with Supramolecular Assemblies R Yang, K Bernardino, X Xiao, WR Gomes, DA Mattoso, NA Kotov, ... Advanced Science, 2402464, 2024 | | 2024 |

Exploring Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms F Bu, R Yang, P Bogdan, K Shin arXiv preprint arXiv:2405.16726, 2024 | | 2024 |

Graph theoretical description of phase transitions in nanoscale assemblies of surfactants R Yang, K Bernardino, X Xiao, WR Gomes, DA Mattoso, NA Kotov, ... | | 2022 |