no code implementations • 19 Jul 2023 • Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
Next, we propose a relational reasoning framework to enable faster training of more robust sparse path encoders.
1 code implementation • 30 Mar 2022 • Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
In this setting, it is essential to learn generic temporal path representations(TPRs) that consider spatial and temporal correlations simultaneously and that can be used in different applications, i. e., downstream tasks.
1 code implementation • 17 Jun 2021 • Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
In the global view, PIM distinguishes the representations of the input paths from those of the negative paths.
no code implementations • 9 Jul 2019 • Sean Bin Yang, Bin Yang
The objective function is designed to consider errors on both ranking scores and spatial properties, making the framework a multi-task learning framework.