Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Xiaofeng, Bao, Han, Kashima, Hisashi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024)
by: Rigaux, Tomas, et al.
Published: (2024)
Treatment Effect Estimation for Graph-Structured Targets
by: Harada, Shonosuke, et al.
Published: (2024)
by: Harada, Shonosuke, et al.
Published: (2024)
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
by: Cao, Tianxiao, et al.
Published: (2025)
by: Cao, Tianxiao, et al.
Published: (2025)
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
by: Kimura, Daichi, et al.
Published: (2025)
by: Kimura, Daichi, et al.
Published: (2025)
Disentangled Graph Autoencoder for Treatment Effect Estimation
by: Fan, Di, et al.
Published: (2024)
by: Fan, Di, et al.
Published: (2024)
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
by: Liu, Ruoqi, et al.
Published: (2024)
by: Liu, Ruoqi, et al.
Published: (2024)
Deep Disentangled Representation Network for Treatment Effect Estimation
by: Meng, Hui, et al.
Published: (2025)
by: Meng, Hui, et al.
Published: (2025)
Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)
by: Tran, Christopher, et al.
Published: (2023)
PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation
by: Lin, Zichuan, et al.
Published: (2025)
by: Lin, Zichuan, et al.
Published: (2025)
Transfer Learning with Pre-trained Conditional Generative Models
by: Yamaguchi, Shin'ya, et al.
Published: (2022)
by: Yamaguchi, Shin'ya, et al.
Published: (2022)
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
by: Chauhan, Vinod Kumar, et al.
Published: (2025)
by: Chauhan, Vinod Kumar, et al.
Published: (2025)
Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Estimating Treatment Effects with Independent Component Analysis
by: Reizinger, Patrik, et al.
Published: (2025)
by: Reizinger, Patrik, et al.
Published: (2025)
Defining Expertise: Applications to Treatment Effect Estimation
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
by: Melnychuk, Valentyn, et al.
Published: (2023)
by: Melnychuk, Valentyn, et al.
Published: (2023)
Real vs. Semi-Simulated: Rethinking Evaluation for Treatment Effect Estimation
by: Panagopoulos, George
Published: (2026)
by: Panagopoulos, George
Published: (2026)
Causal Rule Forest: Toward Interpretable and Precise Treatment Effect Estimation
by: Hsu, Chan, et al.
Published: (2024)
by: Hsu, Chan, et al.
Published: (2024)
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
by: Cai, Hengrui, et al.
Published: (2024)
by: Cai, Hengrui, et al.
Published: (2024)
Estimating Causal Effects from Learned Causal Networks
by: Raichev, Anna, et al.
Published: (2024)
by: Raichev, Anna, et al.
Published: (2024)
Differentiable Cluster Graph Neural Network
by: Dong, Yanfei, et al.
Published: (2024)
by: Dong, Yanfei, et al.
Published: (2024)
Online Policy Learning from Offline Preferences
by: Zhang, Guoxi, et al.
Published: (2024)
by: Zhang, Guoxi, et al.
Published: (2024)
SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis
by: Noroozizadeh, Shahriar, et al.
Published: (2026)
by: Noroozizadeh, Shahriar, et al.
Published: (2026)
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
by: Wang, Yingrong, et al.
Published: (2024)
by: Wang, Yingrong, et al.
Published: (2024)
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
by: Huang, Yiyan, et al.
Published: (2024)
by: Huang, Yiyan, et al.
Published: (2024)
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems
by: Huang, Zijie, et al.
Published: (2024)
by: Huang, Zijie, et al.
Published: (2024)
Estimating Causal Effects in Gaussian Linear SCMs with Finite Data
by: Maiti, Aurghya, et al.
Published: (2026)
by: Maiti, Aurghya, et al.
Published: (2026)
Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation
by: Parra, Olivia Jullian, et al.
Published: (2026)
by: Parra, Olivia Jullian, et al.
Published: (2026)
Optimizing Graph Causal Classification Models: Estimating Causal Effects and Addressing Confounders
by: Job, Simi, et al.
Published: (2026)
by: Job, Simi, et al.
Published: (2026)
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
by: Xu, Xiaoyang, et al.
Published: (2025)
by: Xu, Xiaoyang, et al.
Published: (2025)
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
by: Yin, Changchang, et al.
Published: (2025)
by: Yin, Changchang, et al.
Published: (2025)
I See, Therefore I Do: Estimating Causal Effects for Image Treatments
by: Thorat, Abhinav, et al.
Published: (2024)
by: Thorat, Abhinav, et al.
Published: (2024)
Long-Term Outlier Prediction Through Outlier Score Modeling
by: Aoki, Yuma, et al.
Published: (2026)
by: Aoki, Yuma, et al.
Published: (2026)
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
by: Schubert, Mátyás, et al.
Published: (2025)
by: Schubert, Mátyás, et al.
Published: (2025)
Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations
by: Xu, Fred, et al.
Published: (2025)
by: Xu, Fred, et al.
Published: (2025)
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
by: Peng, Tianhao, et al.
Published: (2023)
by: Peng, Tianhao, et al.
Published: (2023)
Asymmetrical Latent Representation for Individual Treatment Effect Modeling
by: Lacombe, Armand, et al.
Published: (2025)
by: Lacombe, Armand, et al.
Published: (2025)
Learning Representations of Instruments for Partial Identification of Treatment Effects
by: Schweisthal, Jonas, et al.
Published: (2024)
by: Schweisthal, Jonas, et al.
Published: (2024)
Time Series Treatment Effects Analysis with Always-Missing Controls
by: Shu, Juan, et al.
Published: (2025)
by: Shu, Juan, et al.
Published: (2025)
Superposition in Graph Neural Networks
by: Pertl, Lukas, et al.
Published: (2025)
by: Pertl, Lukas, et al.
Published: (2025)
Similar Items
-
Enhancing Chess Reinforcement Learning with Graph Representation
by: Rigaux, Tomas, et al.
Published: (2024) -
Treatment Effect Estimation for Graph-Structured Targets
by: Harada, Shonosuke, et al.
Published: (2024) -
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
by: Cao, Tianxiao, et al.
Published: (2025) -
XicorAttention: Time Series Transformer Using Attention with Nonlinear Correlation
by: Kimura, Daichi, et al.
Published: (2025) -
Disentangled Graph Autoencoder for Treatment Effect Estimation
by: Fan, Di, et al.
Published: (2024)