Inductive Graph Neural Networks for Spatiotemporal Kriging

McGill University, Apr. 2020 ~ Jun. 2020
Advisor: Prof. Lijun Sun
Co-worker: Yuankai Wu
Publication: Proceedings of the AAAI Conference on Artificial Intelligence
Resources: AAAI ar5iv GitHub DOI

• Developed a dynamic sampling based inductive framework of graph neural network to recover data for unsampled sensors on a network/graph structure.
• Learned the spatial message passing mechanism by generating random subgraph samples and adjacency, then reconstructing signals on them.
• Implemented and outperformed advanced spatial kriging and matrix completion models on various spatiotemporal datasets to test the inductive ability.
• Paper in the proceeding of AAAI 2021.