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Inferring dynamic regulatory interaction graphs from time series data with perturbations

Inferring dynamic regulatory interaction graphs from time series data with perturbations

Dhananjay Bhaskar
Sumner Magruder
E. Brouwer
Aarthi Venkat
Frederik Wenkel
Guy Wolf
Smita Krishnaswamy
ArXiv (abs)PDFHTML

Papers citing "Inferring dynamic regulatory interaction graphs from time series data with perturbations"

3 / 3 papers shown
Title
Panda: A pretrained forecast model for universal representation of chaotic dynamics
Panda: A pretrained forecast model for universal representation of chaotic dynamics
Jeffrey Lai
Anthony Bao
William Gilpin
AI4TSAI4CE
103
0
0
19 May 2025
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei Jin
AI4TSAI4CE
526
1
0
29 Mar 2025
Causal Discovery from Conditionally Stationary Time Series
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas
Ruibo Tu
Tanmayee Narendra
Yingzhen Li
Gabriele Schweikert
Hedvig Kjellström
Yingzhen Li
AI4TSBDLCML
174
6
0
12 Oct 2021

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