Inference in probabilistic graphical models by Graph Neural Networks. - KiJung Yoon; Renjie Liao; Yuwen Xiong; Lisa Zhang; Ethan Fetaya; Raquel Urtasun; Richard S. Zemel; Xaq Pitkow (ICLR (Workshop), 2018)

Reviving and Improving Recurrent Back-Propagation. - Renjie Liao; Yuwen Xiong; Ethan Fetaya; Lisa Zhang; KiJung Yoon; Xaq Pitkow; Raquel Urtasun; Richard S. Zemel (ICML, 2018)

Degree Matters: Assessing the Generalization of Graph Neural Network. - Hyunmok Park; KiJung Yoon (IC-NIDC, 2021)

Two-argument activation functions learn soft XOR operations like cortical neurons. - KiJung Yoon; A. Emin Orhan; Juhyun Kim; Xaq Pitkow (CoRR, 2021)

Two-Argument Activation Functions Learn Soft XOR Operations Like Cortical Neurons. - Juhyeon Kim; A. Emin Orhan; KiJung Yoon; Xaq Pitkow (IEEE Access, 2022)

Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. - Hyungeun Lee; Hyunmok Park; KiJung Yoon (CoRR, 2022)

Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. - Juhyeon Kim; Hyungeun Lee; Seungwon Yu; Ung Hwang; Wooyeol Jung; KiJung Yoon (IEEE Access, 2023)

Osteoporosis Prediction from Hand and Wrist X-rays using Image Segmentation and Self-Supervised Learning. - Hyungeun Lee; Ung Hwang; Seungwon Yu; Chang-Hun Lee; Kijung Yoon (CoRR, 2023)

Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting. - Juhyeon Kim; Hyungeun Lee; Seungwon Yu; Ung Hwang; Wooyul Jung; Miseon Park; Kijung Yoon (CoRR, 2023)

Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks. - Hyungeun Lee; Kijung Yoon (Trans. Mach. Learn. Res., 2023)

Osteoporosis Prediction from Hand X-ray Images Using Segmentation-for-Classification and Self-Supervised Learning. - Ung Hwang; Chang-Hun Lee; Kijung Yoon (CoRR, 2024)