Seyeon Oh

According to our database, Seyeon Oh authored at least 3 papers between 2024 and 2025.

Collaborative distances:

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

2025

cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns.

Sungwoo Park, Seyeon Oh, Min-Soo Kim

Proc. ACM Manag. Data, June, 2025

GFlux: A Fast GPU-Based Out-of-Memory Multi-Hop Query Processing Framework for Trillion-Edge Graphs.

Seyeon Oh, Heeyong Yoon, Donghyoung Han, Min-Soo Kim

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

INFINEL: An efficient GPU-based processing method for unpredictable large output graph queries.

Sungwoo Park, Seyeon Oh, Min-Soo Kim

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024