no code implementations • 16 Jan 2024 • Jiayu Chang, Shiyu Wang, Chen Ling, Zhaohui Qin, Liang Zhao
The intricate relationship between genetic variation and human diseases has been a focal point of medical research, evidenced by the identification of risk genes regarding specific diseases.
no code implementations • 19 May 2023 • Shiyu Wang, Guangji Bai, Qingyang Zhu, Zhaohui Qin, Liang Zhao
As a result, domain generalization graph transformation that predicts graphs not available in the training data is under-explored, with multiple key challenges to be addressed including (1) the extreme space complexity when training on all input-output mode combinations, (2) difference of graph topologies between the input and the output modes, and (3) how to generalize the model to (unseen) target domains that are not in the training data.
no code implementations • 19 Jul 2022 • Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui Qin, Liang Zhao
This article is a systematic review that explains this promising research area, commonly known as controllable deep data generation.