85 citations
- University of California, BerkeleyUS3 papers
- Beihang UniversityCN2 papers
- Nankai UniversityCN2 papers
- Peking UniversityCN2 papers
- Renmin University of ChinaCN2 papers
- Tsinghua UniversityCN2 papers
- University of Chinese Academy of SciencesCN2 papers
- University of MichiganUS2 papers
- Africa Nazarene UniversityKE1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- Carleton UniversityCA1 paper
- Center for Excellence in Brain Science and Intelligence TechnologyCN1 paper
4 papers · 2 filters
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong, Hantao Guo, Yucheng Lin +3
In this paper, we focus on graph representation learning of heterogeneous information network (HIN), in which various types of vertices are connected by various types of relations.…
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
John Holler, Risto Vuorio, Zhiwei Qin +6
Order dispatching and driver repositioning (also known as fleet management) in the face of spatially and temporally varying supply and demand are central to a ride-sharing platform…
Multi-source Distilling Domain Adaptation
Sicheng Zhao, Guangzhi Wang, Shanghang Zhang +7
Deep neural networks suffer from performance decay when there is domain shift between the labeled source domain and unlabeled target domain, which motivates the research on domain…
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
Wenjie Shang, Yang Yu, Qingyang Li +3
Reinforcement learning aims at searching the best policy model for decision making, and has been shown powerful for sequential recommendations. The training of the policy by reinfo…