Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder
Authors: Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin, Jingbo Zhou
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive experiments on two real-world datasets validate that VMR-GAE outperforms the state-of-the-art baselines. Also, an exploratory empirical study shows that the proposed explainer can generate meaningful spatiotemporal explanations. |
| Researcher Affiliation | Collaboration | 1Nanjing University of Aeronautics and Astronautics, Nanjing, China 2Baidu Research, Beijing, China 3Dalian University of Technology, Dalian, China |
| Pseudocode | No | The paper describes algorithms in prose (e.g., efficient explanation generation algorithm) but does not provide structured pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not include an unambiguous statement that the authors are releasing their code for the described work, nor does it provide a direct link to a source-code repository. |
| Open Datasets | Yes | NYC dataset was generated from NYC taxicab data published by NYC TLC1. 1https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page |
| Dataset Splits | Yes | Then, we perform a random 7:1:2 division to create the training, validation, and test sets. |
| Hardware Specification | No | The paper does not provide specific hardware details such as exact GPU/CPU models, processor types, or memory amounts used for running its experiments. |
| Software Dependencies | No | The paper discusses the models and architectures used but does not provide specific ancillary software details, such as library names with version numbers (e.g., Python, PyTorch, TensorFlow versions). |
| Experiment Setup | Yes | The unit time step is 1h in Beijing and 2h in NYC datasets. We choose the number of input snapshots T as 6 and set the diffusion step to be 2 in this work. |