Sunyoung Kwon — accepted AI-conference papers

2025

MORE: Molecule Pretraining with Multi-Level Pretext Task

Yeongyeong Son, Dasom Noh, Gyoungyoung Heo, Gyoung Jin Park, Sunyoung Kwon

AAAI 2025technical

Foundation models, serving as pretrained fundamental bases for a variety of downstream tasks, try to learn versatile, rich, and generalizable representations that can be quickly adopted through fine-tuning or even in a zero-shot manner for specific applications. Foundation models for molecular repre…

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2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs

Dasol Hwang, Jinyoung Park, Sunyoung Kwon, KyungMin Kim, Jung-Woo Ha, Hyunwoo J Kim

NeurIPS 2020poster

Graph neural networks have shown superior performance in a wide range of applications providing a powerful representation of graph-structured data. Recent works show that the representation can be further improved by auxiliary tasks. However, the auxiliary tasks for heterogeneous graphs, which cont…

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