Yinhua Piao

Contact

yinhuapark@naver.com

International Papers

  • Lee S, Park J, Piao Y, Lee D, Lee D, Kim S. Multi-layered Knowledge Graph Neural Network Reveals Pathway-level Agreement of Three Breast Cancer Multi-gene Assays. Computational and Structural Biotechnology Journal. 2024 Apr 22.
  • Piao Y, Lee S, Lu Y, Kim S. Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments. CVPR 2024. 2024 Mar
  • Lu Y, Piao Y, Kim S. Enhancing Drug-Drug Interaction Prediction with Context-Aware Architecture. ICLR 2024 Tiny Paper Track. 2024 Feb 16
  • Yi J, Lee S, Lim S, Cho C, Piao Y, Yeo M, Kim D, Kim S, Lee S. Exploring chemical space for lead identification by propagating on chemical similarity network. Computational and Structural Biotechnology Journal. 2023 Aug 25.
  • Kim NY, Piao Y, Kim S. Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023 July 9.
  • Lee S, Lee D, Piao Y, Kim S. SPGP: Structure Prototype Guided Graph Pooling. NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022), 2022 Dec 2.
  • Shin J, Piao Y, Bang D, Kim S, Jo K. DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer. International Journal of Molecular Sciences (IJMS). 2022 Nov 11.
  • Lim S, Lee S, Piao Y, Choi MG, Bang D, Gu J, Kim S. On Modeling and Utilizing Chemical Compound Information with Deep Learning Technologies: A Task-oriented Approach. Computational and Structural Biotechnology Journal (CSBJ). 2022 Aug 4.
  • Piao Y, Lee S, Lee D, Kim S. Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification. AAAI 2022. 2022 Feb 22.