| 2026 | AAAI | Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. | Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park |
| 2025 | ICLR | PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. | Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park |
| 2025 | IJCAI | Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. | Hyowon Wi, Jeongwhan Choi, Noseong Park |
| 2025 | WSDM | SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. | Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park |
| 2024 | AAAI | An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. | Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park |
| 2024 | CIKM | Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. | Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang |
| 2024 | ICLR | Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. | Youn-Yeol Yu, Jeongwhan Choi, Woojin Cho, Kookjin Lee, Nayong Kim, Kiseok Chang, ChangSeung Woo, Ilho Kim, SeokWoo Lee, Joon-Young Yang, Sooyoung Yoon, Noseong Park |
| 2024 | ICML | PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. | Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park |
| 2024 | ICML | Polynomial-based Self-Attention for Table Representation Learning. | Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park |
| 2024 | IJCAI | SVD-AE: Simple Autoencoders for Collaborative Filtering. | Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park |
| 2023 | APSEC | QoS-Aware Graph Contrastive Learning for Web Service Recommendation. | Jeongwhan Choi, Duksan Ryu |
| 2023 | ICML | GREAD: Graph Neural Reaction-Diffusion Networks. | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2023 | SIGIR | Blurring-Sharpening Process Models for Collaborative Filtering. | Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho |
| 2022 | AAAI | Graph Neural Controlled Differential Equations for Traffic Forecasting. | Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park |
| 2022 | CIKM | Prediction-based One-shot Dynamic Parking Pricing. | Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park |
| 2022 | WSDM | Linear, or Non-Linear, That is the Question! | Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim |
| 2021 | CIKM | LT-OCF: Learnable-Time ODE-based Collaborative Filtering. | Jeongwhan Choi, Jinsung Jeon, Noseong Park |
| 2021 | ICDM | Climate Modeling with Neural Diffusion Equations. | Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park |