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GT-CausIn: a novel causal-based insight for traffic prediction

GT-CausIn: a novel causal-based insight for traffic prediction

12 December 2022
Ting Gao
Rodrigo Marques
Lei Yu
    CML
    AI4TS
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Papers citing "GT-CausIn: a novel causal-based insight for traffic prediction"

3 / 3 papers shown
Title
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal
  Traffic Forecasting
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
Y. Shin
Yoonjin Yoon
GNN
AI4TS
52
41
0
18 Feb 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy
Aditya Grover
Stefano Ermon
CML
49
72
0
06 Dec 2021
Iterative Causal Discovery in the Possible Presence of Latent
  Confounders and Selection Bias
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
R. Y. Rohekar
Shami Nisimov
Yaniv Gurwicz
Gal Novik
CML
147
25
0
07 Nov 2021
1