4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.SI2023★ 2 cited
Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods
Isabel Constantino, Sadamori Kojaku, Santo Fortunato +1
Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector represen…
cs.LG2021★ 4 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…