Graph Machine Learning

Bayesian Optimization of Functions over Node Subsets in Graphs
Neural Information Processing Systems (NeurIPS), 2024
Huidong Liang, Xingchen Wan, Xiaowen Dong
PDF Cite Code Abstract OpenReview
Bayesian Optimization of Functions over Node Subsets in Graphs
Bayesian Optimisation of Functions on Graphs
Neural Information Processing Systems (NeurIPS), 2023
Xingchen Wan, Pierre Osselin, Henry Kenlay, Binxin Ru, Michael Osborne, Xiaowen Dong
PDF Cite Code Abstract OpenReview
Bayesian Optimisation of Functions on Graphs
Bayesian Quadrature for Neural Ensemble Search
Transactions on Machine Learning Research (TMLR)
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael Osborne
PDF Cite Code OpenReview
Bayesian Quadrature for Neural Ensemble Search
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Neural Information Processing Systems (NeurIPS), 2021
Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael Osborne, Xiaowen Dong
PDF Cite Code OpenReview Slides & Talk
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Performant and efficient NAS method combining BO and graph kernels (ICLR 2021)
Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne
PDF Cite Code OpenReview Slides & Talk
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Sentiment Correlation in Financial News Networks and Associated Market Movements
Scientific Reports 11.
Xingchen Wan, Jie Yang, Slavi Marinov, Jan-Peter Calliess, Stefan Zohren, Xiaowen Dong
PDF Cite Code HTML
Sentiment Correlation in Financial News Networks and Associated Market Movements