Feb 29, 2024 · To tackle this challenge, we propose Causal Graph Ordinary Differential Equations (CAG-ODE), a novel model that captures the continuous ...

To tackle these challenges, we propose the Causal Graph Ordinary Differential Equations (CAG-. ODE) model to estimate the continuous counterfactual outcome of a ...

Mar 20, 2024 · "Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems Zijie Huang, Jeehyun Hwang, Junkai Zhang, ...

Aug 3, 2024 · This contribution presents a Network-Oriented Modelling approach based on temporal-causal networks. Causal modelling has a long tradition in the ...

2) We propose CF-GODE, a novel causal model for causal inference multi-agent dynamical systems based on GraphODE and domain-adversarial learning. 3) We provide.

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems ... Continuous-Time Causal Inference for Multi-Agent Dynamical Systems

Aug 4, 2023 · To facilitate continuous-time estimation, we propose Treatment-Induced GraphODE, a novel ordinary differential equation based on graph neural ...

... Continuous-Time Causal Inference for Multi-Agent Dynamical Systems ... Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems.

We model a multi-agent dynamical system as a graph and propose CounterFactual GraphODE (CF-GODE), a causal model that estimates continuous-time counterfactual ...

Sep 6, 2024 · Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. Conference Paper. May 2024. Zijie Huang · Jeehyun Hwang ...