75 citations · 157 across the 21 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 6 cited
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang, Michael Rabbat
Graph convolutional neural networks (Graph-CNNs) extend traditional CNNs to handle data that is supported on a graph. Major challenges when working with data on graphs are that the…
stat.ML2018★ 23 cited
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang, Soumyasundar Pal, Mark Coates +1
Recently, techniques for applying convolutional neural networks to graph-structured data have emerged. Graph convolutional neural networks (GCNNs) have been used to address node an…
cs.IR2018★ 12 cited
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
Chen Ma, Yingxue Zhang, Qinglong Wang +1
The rapid growth of Location-based Social Networks (LBSNs) provides a great opportunity to satisfy the strong demand for personalized Point-of-Interest (POI) recommendation service…