Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition. - Divin Yan; Gengchen Wei; Chen Yang; Shengzhong Zhang; Zengfeng Huang (NeurIPS, 2023)

Understanding Community Bias Amplification in Graph Representation Learning. - Shengzhong Zhang; Wenjie Yang 006; Yimin Zhang; Hongwei Zhang; Divin Yan; Zengfeng Huang (CoRR, 2023)

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. - Tian Bian; Yifan Niu; Heng Chang; Divin Yan; Junzhou Huang; Yu Rong 001; Tingyang Xu; Jia Li 009; Hong Cheng 001 (CIKM, 2024)

Training Class-Imbalanced Diffusion Model Via Overlap Optimization. - Divin Yan; Lu Qi; Vincent Tao Hu; Ming-Hsuan Yang 001; Meng Tang (CoRR, 2024)

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. - Shengchao Liu; Divin Yan; Weitao Du; Weiyang Liu; Zhuoxinran Li; Hongyu Guo; Christian Borgs; Jennifer T. Chayes; Anima Anandkumar (CoRR, 2024)