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FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks

FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks

14 June 2023
Mridul Gupta
H. Kodamana
Sayan Ranu
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks"

10 / 10 papers shown
Title
NetSight: Graph Attention Based Traffic Forecasting in Computer Networks
NetSight: Graph Attention Based Traffic Forecasting in Computer Networks
Jinming Xing
Guoheng Sun
Hui Sun
Linchao Pan
Shakir Mahmood
Xuanhao Luo
Muhammad Shahzad
54
0
0
11 May 2025
Graph Construction with Flexible Nodes for Traffic Demand Prediction
Graph Construction with Flexible Nodes for Traffic Demand Prediction
Jinyan Hou
Shan Liu
Ya Zhang
Haotong Qin
AI4TS
77
0
0
03 Jan 2025
Spatio-spectral graph neural operator for solving computational
  mechanics problems on irregular domain and unstructured grid
Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid
Subhankar Sarkar
Souvik Chakraborty
68
1
0
01 Sep 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
65
0
0
02 Aug 2024
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic
  Forecasting
Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Jianrong Ding
Guanjie Zheng
AI4TS
65
3
0
03 Jun 2024
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time
  Series Forecasting
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting
Zheng Dong
Renhe Jiang
Haotian Gao
Hangchen Liu
Jinliang Deng
Qingsong Wen
Xuan Song
AI4TS
146
15
0
17 May 2024
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic
  Forecasting
Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
Zhanyu Liu
Guanjie Zheng
Yanwei Yu
AI4TS
106
6
0
01 Feb 2024
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mridul Gupta
S. Manchanda
H. Kodamana
Sayan Ranu
DD
89
16
0
14 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers
  through In-depth Benchmarking
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
Mert Kosan
S. Verma
Burouj Armgaan
Khushbu Pahwa
Ambuj K. Singh
Sourav Medya
Sayan Ranu
87
14
0
03 Oct 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta
S. Manchanda
Sayan Ranu
Srikanta J. Bedathur
82
9
0
06 Jun 2023
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