This repository is the implementation of the paper: Saima Absar, Yongkai Wu, and Lu Zhang. “Neural Time-invariant Causal Discovery from Time Series Data." International Joint Conference on Neural Networks. Gold Coast, Queensland, Australia. 2023.
- ./singleseq: contains the codes for experiments with single-sequence synthetic data, including sample data and data-generation code
- ./multiseq: contains the codes for experiments with multi-sequence synthetic data, including sample data and data-generation code
- ./realData: contains the codes for experiments with Netsim data, including data and data-preparation code
To reproduce the experiments, get into the corresponding directory and run the following commands:
- bash run_singleseq.sh
- bash run_multiseq.sh
- bash run_netsim.sh
Please cite the following paper if using this code. NTiCD