3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 3 cited
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning
Yang Liu, Zequn Sun, Guangyao Li +1
Knowledge graph (KG) embedding seeks to learn vector representations for entities and relations. Conventional models reason over graph structures, but they suffer from the issues o…
cs.LG2022★ 1 cited
Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks
Jin Zeng, Yang Liu, Gene Cheung +1
A graph convolutional network (GCN) employs a graph filtering kernel tailored for data with irregular structures. However, simply stacking more GCN layers does not improve performa…