63 citations · 97 across the 21 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 1 cited
Mutual Information Maximization in Graph Neural Networks
Xinhan Di, Pengqian Yu, Rui Bu +1
A variety of graph neural networks (GNNs) frameworks for representation learning on graphs have been recently developed. These frameworks rely on aggregation and iteration scheme t…
cs.LG2019★ 63 cited
Model-based Deep Reinforcement Learning for Dynamic Portfolio Optimization
Pengqian Yu, Joon Sern Lee, Ilya Kulyatin +2
Dynamic portfolio optimization is the process of sequentially allocating wealth to a collection of assets in some consecutive trading periods, based on investors' return-risk profi…