57 citations · 144 across the 14 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.DB2021
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs
Kyuhan Lee, Jihoon Ko, Kijung Shin
Given a massive graph, how can we exploit its hierarchical structure for concisely but exactly summarizing the graph? By exploiting the structure, can we achieve better compression…
cs.LG2021★ 3 cited
Learning to Pool in Graph Neural Networks for Extrapolation
Jihoon Ko, Taehyung Kwon, Kijung Shin +1
Graph neural networks (GNNs) are one of the most popular approaches to using deep learning on graph-structured data, and they have shown state-of-the-art performances on a variety…