24 citations · 28 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2021★ 4 cited
Molecular distance matrix prediction based on graph convolutional networks
Xiaohui Lin, Yongquan Jiang, Yan Yang
Molecular structure has important applications in many fields. For example, some studies show that molecular spatial information can be used to achieve better prediction results wh…
cs.LG2018★ 24 cited
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Boris Knyazev, Xiao Lin, Mohamed R. Amer +1
Spectral Graph Convolutional Networks (GCNs) are a generalization of convolutional networks to learning on graph-structured data. Applications of spectral GCNs have been successful…