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[ACM TIST 2023] Implementation of "Mobility inference on long-tailed sparse trajectory"

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Mobility Inference on Long-Tailed Sparse Trajectory

The repository implements the SDS algorithm and Singleton transformer in tensorflow described in the following paper

Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, and Zhiguang Shan. 2022. Mobility Inference on Long-Tailed Sparse Trajectory. ACM Trans. Intell. Syst. Technol. Just Accepted (September 2022). https://doi.org/10.1145/3563457

SDS Algorithm

A figure description about Singleton transformer for mobility Inference

Installation

The dependencies are managed:

python=3.6
tensorflow==1.12.0
numpy>=1.15.4
sentencepiece==0.1.8
tqdm>=4.28.1

Train the model:

cd transformer
cd eval
unzip test_data.zip
unzip train_data.zip
cd ..
./run_model.sh "eval/train_data" "eval/test_data" "log"

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[ACM TIST 2023] Implementation of "Mobility inference on long-tailed sparse trajectory"

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