Eric Inae

According to our database, Eric Inae authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

2024

Rationalizing Graph Neural Networks with Data Augmentation.

Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang

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

2023

Motif-aware Attribute Masking for Molecular Graph Pre-training.

Eric Inae, Gang Liu, Meng Jiang

CoRR, 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