73 citations · 115 across the 19 of their papers we have counts for
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3 papers · 1 filter
cs.LG2020★ 11 cited
Dirichlet Graph Variational Autoencoder
Jia Li, Tomasyu Yu, Jiajin Li +5
Graph Neural Networks (GNNs) and Variational Autoencoders (VAEs) have been widely used in modeling and generating graphs with latent factors. However, there is no clear explanation…
cs.AI2020★ 2 cited
Towards Feature-free TSP Solver Selection: A Deep Learning Approach
Kangfei Zhao, Shengcai Liu, Yu Rong +1
The Travelling Salesman Problem (TSP) is a classical NP-hard problem and has broad applications in many disciplines and industries. In a large scale location-based services system,…
cs.SI2020★ 3 cited
Graph Ordering: Towards the Optimal by Learning
Kangfei Zhao, Yu Rong, Jeffrey Xu Yu +2
Graph representation learning has achieved a remarkable success in many graph-based applications, such as node classification, link prediction, and community detection. These model…