no code implementations • 30 Jan 2022 • Guilong Li, Yixian Chen, Qionghua Liao, Zhaocheng He
We first construct a trip knowledge graph (TKG) to model the trip scenario by entities (e. g., travelers, destinations and time information) and their relationships, in which we introduce the concept of private relationship for complexity reduction.
2 code implementations • 2 Sep 2019 • Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin
Specifically, the first ConvLSTM unit takes normal traffic flow features as input and generates a hidden state at each time-step, which is further fed into the connected convolutional layer for spatial attention map inference.