27 citations · 58 across the 9 of their papers we have counts for
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cs.LG2021★ 27 cited
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning
Xiao Wang, Nian Liu, Hui Han +1
Heterogeneous graph neural networks (HGNNs) as an emerging technique have shown superior capacity of dealing with heterogeneous information network (HIN). However, most HGNNs follo…
cs.LG2021★ 1 cited
Lorentzian Graph Convolutional Networks
Yiding Zhang, Xiao Wang, Chuan Shi +2
Graph convolutional networks (GCNs) have received considerable research attention recently. Most GCNs learn the node representations in Euclidean geometry, but that could have a hi…