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  1. DGBO DGBO Public

    This code is implemented according to paper "Deep Bayesian Optimization on Attributed Graphs", published on AAAI2019. (Python2/TensorFlow)

    Python 3

  2. Scalable-and-Parallel-DGBO Scalable-and-Parallel-DGBO Public

    This code is implemented according to paper "Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs", accepted by TNNLS. (Python2/TensorFlow)

    Python 4

  3. CAGG CAGG Public

    Cost-Aware Graph Generation (CAGG), a framework for generating graphs with the optimal properties at as low cost as possible. The work has been accepted by AAAI 2021. (Python3/Pytorch)

    Python 9

  4. neural_ode_processes_for_network_dynamics-master neural_ode_processes_for_network_dynamics-master Public

    Neural ODE Processes for Network Dynamics (NDP4ND), a new class of stochastic processes governed by stochastic data-adaptive network dynamics, is to overcome the fundamental challenge of learning a…

    Python 12 1