activity
20182022
most citedResidual2Vec: Debiasing graph embedding with random graphs

4 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DL2022

Quantifying the topic disparity of scientific articles

Munjung Kim, Jisung Yoon, Woo-Sung Jung +1

Citation count is a popular index for assessing scientific papers. However, it depends on not only the quality of a paper but also various factors, such as conventionality, team si…

physics.soc-ph20223 cited

Quantifying knowledge synchronisation in the 21st century

Jisung Yoon, Jinseo Park, Jinhyuk Yun +1

Humans acquire and accumulate knowledge through language usage and eagerly exchange their knowledge for advancement. Although geographical barriers had previously limited communica…

cs.LG20214 cited

Residual2Vec: Debiasing graph embedding with random graphs

Sadamori Kojaku, Jisung Yoon, Isabel Constantino +1

Graph embedding maps a graph into a convenient vector-space representation for graph analysis and machine learning applications. Many graph embedding methods hinge on a sampling of…

cs.SI2020

Persona2vec: A Flexible Multi-role Representations Learning Framework for Graphs

Jisung Yoon, Kai-Cheng Yang, Woo-Sung Jung +1

Graph embedding techniques, which learn low-dimensional representations of a graph, are achieving state-of-the-art performance in many graph mining tasks. Most existing embedding a…

physics.soc-ph2018

Build up of a subject classification system from collective intelligence

Jisung Yoon, Jinhyuk Yun, Woo-Sung Jung

Systematized subject classification is essential for funding and assessing scientific projects. Conventionally, classification schemes are founded on the empirical knowledge of the…