MoonJeong Park
Scholar

MoonJeong Park

Google Scholar ID: EY_FX_sAAAAJ
graduate student of POSTECH
machine learninggraph neural networkdynamical system
Citations & Impact
All-time
Citations
35
 
H-index
4
 
i10-index
1
 
Publications
10
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 2025: Paper 'The Oversmoothing Fallacy: A Misguided Narrative in GNN Research' published on arXiv, challenging the prevailing belief about oversmoothing in deep GNNs
  • 2025: Paper 'Influence Functions for Edge Edits in Non-Convex Graph Neural Networks' published on arXiv, proposing influence functions for GNNs
  • Mar 2025: Paper on personalizing LLMs with a graph-based collaborative filtering framework uploaded to arXiv
  • Oct 2024: Paper on gradient analysis in GNNs uploaded to arXiv
  • Jun 2024: Paper on label smoothing in GNNs uploaded to arXiv
Background
  • Ph.D. student at the POSTECH Machine Learning Lab, Graduate School of Artificial Intelligence, POSTECH
  • Advised by Prof. Dongwoo Kim
  • Research interests include various aspects of machine learning, particularly Graph Neural Networks (GNNs) and dynamical systems
  • Recently exploring interpretation of deep learning architectures and training methods through the lens of Ordinary Differential Equations (ODEs)
  • Aims to develop innovative and efficient neural network designs by integrating advanced mathematical principles with practical applications
Co-authors
0 total
Co-authors: 0 (list not available)