Simi Job

According to our database, Simi Job authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Optimizing Graph Causal Classification Models: Estimating Causal Effects and Addressing Confounders.

Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Jianming Yong, Xin Wang

CoRR, February, 2026

Causal Neighbourhood Learning for Invariant Graph Representations.

Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Jianming Yong

CoRR, February, 2026

2025

Exploring Causal Learning Through Graph Neural Networks: An In-Depth Review.

Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Lin Li, Qing Li, Jianming Yong

WIREs Data. Mining. Knowl. Discov., June, 2025

Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance.

Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Quan Z. Sheng, Haoran Xie, Jianming Yong

World Wide Web (WWW), May, 2025

HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing.

Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Haoran Xie, Cai Xu, Jianming Yong

Knowl. Based Syst., 2025

2024

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning.

Simi Job, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Jianming Yong, Qing Li

ACM Trans. Intell. Syst. Technol., April, 2024

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks.

Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Haoran Xie, Jianming Yong

CoRR, 2024

2023

Topic Integrated Opinion-Based Drug Recommendation With Transformers.

Simi Job, Xiaohui Tao, Yuefeng Li, Lin Li, Jianming Yong

IEEE Trans. Emerg. Top. Comput. Intell., December, 2023