Random Ensemble Reinforcement Learning for Traffic Signal Control

no code implementations • 10 Mar 2022 • Ruijie Qi, Jianbin Huang, He Li, Qinglin Tan, Longji Huang, Jiangtao Cui

Moreover, we introduce the Update-To-Data (UTD) ratio to control the number of data reuses to improve the problem of low data utilization.

Ensemble Learning reinforcement-learning +1

Association Rules Enhanced Knowledge Graph Attention Network

no code implementations • 14 Nov 2020 • Zhenghao Zhang, Jianbin Huang, Qinglin Tan

However, in most existing embedding methods, only fact triplets are utilized, and logical rules have not been thoroughly studied for the knowledge base completion task.

Graph Attention Knowledge Base Completion +2

Multi-View Dynamic Heterogeneous Information Network Embedding

no code implementations • 12 Nov 2020 • Zhenghao Zhang, Jianbin Huang, Qinglin Tan

To tackle above challenges, we propose a novel framework for incorporating temporal information into HIN embedding, denoted as Multi-View Dynamic HIN Embedding (MDHNE), which can efficiently preserve evolution patterns of implicit relationships from different views in updating node representations over time.

Network Embedding