csjtx1021

Cui Jiaxu's repositories

CAGG

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)

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neural_ode_processes_for_network_dynamics-master

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 accurate network dynamics with sparse, irregularly-sampled, partial, and noisy observations.

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Scalable-and-Parallel-DGBO

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

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DGBO

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

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collect_preference_data_tool

This tool is used to collect the human preference data of odor molecules. (Python3)

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csjtx1021.github.io

This is Jiaxu Cui's homepage

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Spatio-Temporal-

Matlab codes used in the paper "Predicting the patterns of spatio-temporal signal propagation in complex networks"

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