GTS: A fast and scalable graph processing method based on streaming topology to GPUs MS Kim, K An, H Park, H Seo, J Kim Proceedings of the 2016 international conference on management of data, 447-461, 2016 | 61 | 2016 |
TrillionG: A trillion-scale synthetic graph generator using a recursive vector model H Park, MS Kim Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 47 | 2017 |
EvoGraph: An effective and efficient graph upscaling method for preserving graph properties H Park, MS Kim Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 28 | 2018 |
DSP-CC-: I/O efficient parallel computation of connected components in billion-scale networks MS Kim, S Lee, WS Han, H Park, JH Lee IEEE Transactions on Knowledge and Data Engineering 27 (10), 2658-2671, 2015 | 8 | 2015 |
LineageBA: A fast, exact and scalable graph generation for the Barabási-Albert model H Park, MS Kim 2021 IEEE 37th International Conference on Data Engineering (ICDE), 540-551, 2021 | 3 | 2021 |
Graph generating method and apparatus MS Kim, P Himchan US Patent 10,593,080, 2020 | 2 | 2020 |
Graph upscaling method for preserving graph properties MS Kim, P Himchan US Patent 11,107,187, 2021 | | 2021 |
Trillion-scale Graph Processing Simulation based on Top-Down Graph Upscaling H Park, J Xiong, MS Kim 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1512-1523, 2021 | | 2021 |