Eric Inae

According to our database, Eric Inae authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning.

Yihan Zhu, Gang Liu, Eric Inae, Meng Jiang

CoRR, June, 2025

Learning Repetition-Invariant Representations for Polymer Informatics.

Yihan Zhu, Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang

CoRR, May, 2025

2024

Rationalizing Graph Neural Networks with Data Augmentation.

Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang

ACM Trans. Knowl. Discov. Data, May, 2024

Motif-Aware Attribute Masking for Molecular Graph Pre-Training.

Eric Inae, Gang Liu, Meng Jiang

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

2023

Data-Centric Learning from Unlabeled Graphs with Diffusion Model.

Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Graph Imbalanced Regression.

Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023