46 citations · 46 across the 3 of their papers we have counts for
3 papers
cs.SI2020
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization
Carl Yang, Mengxiong Liu, Frank He +2
Networks are widely used to model objects with interactions and have enabled various downstream applications. However, in the real world, network mining is often done on particular…
cs.SI2019
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery
Carl Yang, Mengxiong Liu, Frank He +3
Heterogeneous networks are widely used to model real-world semi-structured data. The key challenge of learning over such networks is the modeling of node similarity under both netw…
cs.LG2016★ 46 cited
Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening
Frank S. He, Yang Liu, Alexander G. Schwing +1
We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and e…