Message Passing Neural Networks for Traffic Forecasting

9 May 2023

Papers citing "Message Passing Neural Networks for Traffic Forecasting"

5 / 5 papers shown

Title
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 38 0 0 22 Feb 2025
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning Arian Prabowo Kaixuan Chen Hao Xue Subbu Sethuvenkatraman Flora D. Salim 21 2 0 08 Sep 2023
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting Arian Prabowo Kaixuan Chen Hao Xue Subbu Sethuvenkatraman Flora D. Salim OOD 18 11 0 10 Jun 2023
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT) Arian Prabowo Hao Xue Wei Shao Piotr Koniusz Flora D. Salim AI4TS 22 13 0 09 May 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,100 0 27 Apr 2021