Shinhwan Kang

According to our database, Shinhwan Kang authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases.

Dongwon Choi, Sunwoo Kim, Juyeon Kim, Kyungho Kim, Geon Lee, Shinhwan Kang, Myunghwan Kim, Kijung Shin

CoRR, June, 2025

BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning.

Jihoon Ko, Shinhwan Kang, Taehyung Kwon, Heechan Moon, Kijung Shin

ACM Trans. Intell. Syst. Technol., February, 2025

2024

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.

Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm.

Fanchen Bu, Shinhwan Kang, Kijung Shin

Data Min. Knowl. Discov., November, 2023

2022

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition.

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun

CoRR, 2022

BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning.

Jihoon Ko, Shinhwan Kang, Kijung Shin

CoRR, 2022

Are Edge Weights in Summary Graphs Useful? - A Comparative Study.

Shinhwan Kang, Kyuhan Lee, Kijung Shin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Personalized Graph Summarization: Formulation, Scalable Algorithms, and Applications.

Shinhwan Kang, Kyuhan Lee, Kijung Shin

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021