SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Dingyi Zhuang, Yuheng Bu, Guang Wang, Shenhao Wang, Jinhua Zhao. SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks. In Mario A. Nascimento, Li Xiong 0001, Andreas Züfle, Yao-Yi Chiang, Ahmed Eldawy, Peer Kröger, editors, Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. pages 160-172, ACM, 2024. [doi]

The following publications are possibly variants of this publication:

Advances in spatiotemporal graph neural network prediction researchYi Wang. digearth, 16(1):2034-2066, December 2023. [doi]

Advances in spatiotemporal graph neural network prediction researchYi Wang. digearth, 16(1):2034-2066, December 2023. [doi]

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural NetworksZepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lyu, Yang Liu 0246, Peng Sun 0007, Sharath Chandra Guntuku. icassp 2025: 1-5 [doi]

runs on WebDSL