Name: Cui Jiaxu
Type: User
Company: Jilin University
Bio: I am an associate professor at Jilin University. My research interests include Bayesian Optimization, Graph Generation, and Network Dynamics Learning.
Location: China
Blog: https://csjtx1021.github.io/
Cui Jiaxu's Projects
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)
This tool is used to collect the human preference data of odor molecules. (Python3)
This is Jiaxu Cui's homepage
This code is implemented according to paper "Deep Bayesian Optimization on Attributed Graphs", published on AAAI2019. (Python2/TensorFlow)
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.
This code is implemented according to paper "Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs", accepted by TNNLS. (Python2/TensorFlow)
Matlab codes used in the paper "Predicting the patterns of spatio-temporal signal propagation in complex networks"
A faster implementation version of the paper "Neural Symbolic Regression that scales"