6 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ML2025★ 1 cited
Dynamic Causal Structure Discovery and Causal Effect Estimation
Jianian Wang, Rui Song
To represent the causal relationships between variables, a directed acyclic graph (DAG) is widely utilized in many areas, such as social sciences, epidemics, and genetics. Many cau…
cs.CL2023★ 1 cited
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model
Haitao Jiang, Lin Ge, Yuhe Gao +2
Large Language Models (LLMs) have shown their success in language understanding and reasoning on general topics. However, their capability to perform inference based on user-specif…
q-fin.ST2021★ 6 cited
A Review on Graph Neural Network Methods in Financial Applications
Jianian Wang, Sheng Zhang, Yanghua Xiao +1
With multiple components and relations, financial data are often presented as graph data, since it could represent both the individual features and the complicated relations. Due t…