Semi-Supervised Graph Imbalanced Regression. - Gang Liu 025; Tong Zhao 003; Eric Inae; Tengfei Luo; Meng Jiang 001 (KDD, 2023)

Data-Centric Learning from Unlabeled Graphs with Diffusion Model. - Gang Liu 025; Eric Inae; Tong Zhao 003; Jiaxin Xu; Tengfei Luo; Meng Jiang 001 (NeurIPS, 2023)

Motif-Aware Attribute Masking for Molecular Graph Pre-Training. - Eric Inae; Gang Liu 025; Meng Jiang 001 (LoG, 2024)

Rationalizing Graph Neural Networks with Data Augmentation. - Gang Liu 025; Eric Inae; Tengfei Luo; Meng Jiang 001 (ACM Trans. Knowl. Discov. Data, 2024)

Learning Repetition-Invariant Representations for Polymer Informatics. - Yihan Zhu; Gang Liu 025; Eric Inae; Tengfei Luo; Meng Jiang 001 (CoRR, 2025)

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning. - Yihan Zhu; Gang Liu 025; Eric Inae; Meng Jiang 001 (CoRR, 2025)