Shinhwan Kang

18 papers A* 4Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents.
WWW
Kyungho Kim, Geon Lee, Juyeon Kim, Dongwon Choi, Shinhwan Kang, Kijung Shin
2026 J jnl
ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents.
CoRR
Kyungho Kim, Geon Lee, Juyeon Kim, Dongwon Choi, Shinhwan Kang, Kijung Shin
2025 J jnl
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning.
ACM Trans. Intell. Syst. Technol.
Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin
2025 J jnl
Inductive influence estimation and maximization over unseen social networks under two diffusion models.
Data Min. Knowl. Discov.
Jihoon Ko, Sojeong Kim, Kyuhan Lee, Shinhwan Kang, Dongyeong Hwang, Kijung Shin, Noseong Park
2025 J jnl
RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases.
CoRR
Dongwon Choi, Sunwoo Kim, Juyeon Kim, Kyungho Kim, Geon Lee, Shinhwan Kang, Myunghwan Kim, Kijung Shin
2024 A* conf
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
ICLR
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2024 J jnl
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
CoRR
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2024 A* conf
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
NeurIPS
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
2024 J jnl
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
CoRR
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
2023 J jnl
Interplay between Topology and Edge Weights in Real-World Graphs: Concepts, Patterns, and an Algorithm.
CoRR
Fanchen Bu, Shinhwan Kang, Kijung Shin
2023 J jnl
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm.
Data Min. Knowl. Discov.
Fanchen Bu, Shinhwan Kang, Kijung Shin
2022 — conf
Are Edge Weights in Summary Graphs Useful? - A Comparative Study.
PAKDD (1)
Shinhwan Kang, Kyuhan Lee, Kijung Shin
2022 J jnl
Are Edge Weights in Summary Graphs Useful? - A Comparative Study.
CoRR
Shinhwan Kang, Kyuhan Lee, Kijung Shin
2022 J jnl
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning.
CoRR
Jihoon Ko, Shinhwan Kang, Kijung Shin
2022 A* conf
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications.
ICDE
Shinhwan Kang, Kyuhan Lee, Kijung Shin
2022 J jnl
Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications.
CoRR
Shinhwan Kang, Kyuhan Lee, Kijung Shin
2022 J jnl
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition.
CoRR
Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun
2021 — conf
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.
NeurIPS (Competition and Demos)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil