Corrigendum to “BAED: a New Paradigm for Few-shot Graph Learning with Explanation in the Loop” [Neural Networks, 199 (2026), 108673]

The authors regret that the funding acknowledgement section in the original article was missing. The correct funding acknowledgement should read as follows:Chao Chen and Chuanyi Liu are supported by the National Key Research and Development Program of China (No. 2023YFB3106504), Pengcheng-China Mobile Jointly Funded Project (No. 2024ZY2B0050). Chao Chen, Dongsheng Hong, Shanshan Lin, and Xiangwen Liao are supported by the Natural Science Foundation of China (No. 62476060). Xujia Li and Lei Chen are partially supported by National Key Research and Development Program of China Grant No. 2023YFF0725100, National Science Foundation of China (NSFC) under Grant No. U22B2060, Guangdong-Hong Kong Technology Innovation Joint Funding Scheme Project No. 2024A0505040012, the Hong Kong RGC GRF Project 16213620, RIF Project R6020-19, AOE Project AoE/E-603/18, Theme-based project TRS T41-603/20R, CRF Project C2004-21G, Guangdong Province Science and Technology Plan Project 2023A0505030011, Guangzhou municipality big data intelligence key lab, 2023A03J0012, Hong Kong ITC ITF grants MHX/078/21 and PRP/004/22FX, Zhujiang scholar program 2021JC02 × 170, Microsoft Research Asia Collaborative Research Grant, HKUST-Webank joint research lab and 2023 HKUST Shenzhen-Hong Kong Collaborative Innovation Institute Green Sustainability Special Fund, from Shui On Xintiandi and the InnoSpace GBA. The authors would like to apologise for any inconvenience caused.