Papers citing 'Towards out-of-distribution generalizable predictions of chemical kinetics properties'

Title
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD ChallengesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Nan Yin Senzhang Wang Xinwang Liu Philip S. Yu Ming Zhang AI4CE 269 73 0 07 Mar 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 439 9 0 19 Dec 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication ChannelInternational Conference on Learning Representations (ICLR), 2023 Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Jun Liu Bo Han 258 11 0 02 Nov 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?Neural Information Processing Systems (NeurIPS), 2023 Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 204 55 0 29 Oct 2023