1 code implementation • 19 Dec 2019 • Huiting Hong, Hantao Guo, Yu-Cheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
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.
no code implementations • 14 Oct 2019 • Hao Cheng, Xiaoqing Yang, Zang Li, Yanghua Xiao, Yu-Cheng Lin
Deep neural networks have been widely used in text classification.
no code implementations • 20 Aug 2019 • Yu-Cheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
In this paper, we propose two novel algorithms, GHINE (General Heterogeneous Information Network Embedding) and AHINE (Adaptive Heterogeneous Information Network Embedding), to compute distributed representations for elements in heterogeneous networks.
no code implementations • 18 Dec 2018 • Yu-Cheng Lin, Chun-Ming Lai, S. Felix Wu, George A. Barnett
Classification problems have made significant progress due to the maturity of artificial intelligence (AI).
1 code implementation • 10 Aug 2018 • Taiyi Zhang, Yu-Cheng Lin
Three schemes are considered: a symmetric model, in which all lanes are driving lanes, an asymmetric model, in which the right lane is a driving lane and the other lanes are overtaking lanes, a hybrid model, in which the leftmost lane is an overtaking lane and all the other lanes are driving lanes.
Physics and Society Cellular Automata and Lattice Gases