Jeongwhan Choi

53 papers A* 13A 5B 2C 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. AAAI Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park
2025	J	`jnl`	Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs. CoRR Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park
2025	J	`jnl`	Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization? CoRR Jeongwhan Choi, Woosung Kang, Minseo Kim, Jongwoo Kim, Noseong Park
2025	—	`conf`	FrAug: Enhanced Fraud Detection in Interbank Transfers via Augmented Account Features. BigComp Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee, Noseong Park
2025	B	`conf`	FraudCenGCL: Role-Aware Graph Contrastive Learning for Low-Homophily Fraud Detection. IEEE Big Data Seonkyu Lim, Jeongwhan Choi, Jaehoon Lee
2025	J	`jnl`	Graph-Based Representation Approach for Deep Learning of Organic Light-Emitting Diode Devices. Adv. Intell. Syst. Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, SeokWoo Lee, Noseong Park, Joon-Young Yang
2025	A*	`conf`	Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. IJCAI Hyowon Wi, Jeongwhan Choi, Noseong Park
2025	J	`jnl`	Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain. CoRR Hyowon Wi, Jeongwhan Choi, Noseong Park
2025	A*	`conf`	PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. ICLR Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
2025	J	`jnl`	PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. CoRR Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park
2025	J	`jnl`	Possibility for Proactive Anomaly Detection. CoRR Jinsung Jeon, Jaehyeon Park, Sewon Park, Jeongwhan Choi, Minjung Kim, Noseong Park
2025	J	`jnl`	Predicting drug-drug interactions: A deep learning approach with GCN-based collaborative filtering. Artif. Intell. Medicine Yeon Uk Jeong, Jeongwhan Choi, Noseong Park, Jae Yong Ryu, Yi Rang Kim
2025	A	`conf`	SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation. WSDM Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
2025	J	`jnl`	TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation. CoRR Yehjin Shin, Jeongwhan Choi, Seojin Kim, Noseong Park
2024	A*	`conf`	An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention. AAAI Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2024	A	`conf`	Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CIKM Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang
2024	J	`jnl`	Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. CoRR Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang
2024	A*	`conf`	Graph Convolutions Enrich the Self-Attention in Transformers! NeurIPS Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2024	J	`jnl`	Graph Signal Processing for Cross-Domain Recommendation. CoRR Jeongeun Lee, SeongKu Kang, Won-Yong Shin, Jeongwhan Choi, Noseong Park, Dongha Lee
2024	A*	`conf`	Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. ICLR 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	A*	`conf`	PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. ICML Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024	J	`jnl`	PANDA: Expanded Width-Aware Message Passing Beyond Rewiring. CoRR Jeongwhan Choi, Sumin Park, Hyowon Wi, Sung-Bae Cho, Noseong Park
2024	A*	`conf`	Polynomial-based Self-Attention for Table Representation Learning. ICML Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2024	J	`jnl`	QoS-Aware Graph Contrastive Learning for Web Service Recommendation. CoRR Jeongwhan Choi, Duksan Ryu
2024	A*	`conf`	SVD-AE: Simple Autoencoders for Collaborative Filtering. IJCAI Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
2024	J	`jnl`	SVD-AE: Simple Autoencoders for Collaborative Filtering. CoRR Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park
2024	J	`jnl`	Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. CoRR Chaejeong Lee, Jeongwhan Choi, Hyowon Wi, Sung-Bae Cho, Noseong Park
2023	J	`jnl`	An Attentive Inductive Bias for Sequential Recommendation Beyond the Self-Attention. CoRR Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2023	A*	`conf`	Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2023	J	`jnl`	Climate modeling with neural advection-diffusion equation. Knowl. Inf. Syst. Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, Kookjin Lee, Dongeun Lee, Noseong Park
2023	A*	`conf`	GREAD: Graph Neural Reaction-Diffusion Networks. ICML Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2023	J	`jnl`	Graph Convolutions Enrich the Self-Attention in Transformers! CoRR Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
2023	J	`jnl`	Graph Neural Rough Differential Equations for Traffic Forecasting. CoRR Jeongwhan Choi, Noseong Park
2023	J	`jnl`	Graph Neural Rough Differential Equations for Traffic Forecasting. ACM Trans. Intell. Syst. Technol. Jeongwhan Choi, Noseong Park
2023	J	`jnl`	Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer. CoRR 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
2023	B	`conf`	Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. IEEE Big Data Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
2023	J	`jnl`	Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations. CoRR Seonkyu Lim, Jaehyeon Park, Seojin Kim, Hyowon Wi, Haksoo Lim, Jinsung Jeon, Jeongwhan Choi, Noseong Park
2023	J	`jnl`	Polynomial-based Self-Attention for Table Representation learning. CoRR Jayoung Kim, Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park
2023	C	`conf`	QoS-Aware Graph Contrastive Learning for Web Service Recommendation. APSEC Jeongwhan Choi, Duksan Ryu
2023	J	`jnl`	RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation. CoRR Jeongwhan Choi, Hyowon Wi, Chaejeong Lee, Sung-Bae Cho, Dongha Lee, Noseong Park
2022	J	`jnl`	GREAD: Graph Neural Reaction-Diffusion Equations. CoRR Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2022	A*	`conf`	Graph Neural Controlled Differential Equations for Traffic Forecasting. AAAI Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
2022	A	`conf`	Linear, or Non-Linear, That is the Question! WSDM Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim
2022	J	`jnl`	Perturbation-Recovery Method for Recommendation. CoRR Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho
2022	A	`conf`	Prediction-based One-shot Dynamic Parking Pricing. CIKM Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
2022	J	`jnl`	Prediction-based One-shot Dynamic Parking Pricing. CoRR Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park
2022	J	`jnl`	Time Series Forecasting with Hypernetworks Generating Parameters in Advance. CoRR Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park
2021	A*	`conf`	Climate Modeling with Neural Diffusion Equations. ICDM Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
2021	J	`jnl`	Climate Modeling with Neural Diffusion Equations. CoRR Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, Noseong Park
2021	J	`jnl`	Graph Neural Controlled Differential Equations for Traffic Forecasting. CoRR Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
2021	A	`conf`	LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CIKM Jeongwhan Choi, Jinsung Jeon, Noseong Park
2021	J	`jnl`	LT-OCF: Learnable-Time ODE-based Collaborative Filtering. CoRR Jeongwhan Choi, Jinsung Jeon, Noseong Park
2021	J	`jnl`	Linear, or Non-Linear, That is the Question! CoRR Taeyong Kong, Taeri Kim, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park, Sang-Wook Kim