Jiye Liang

Causal Discovery From Unknown Interventional Datasets Over Overlapping Variable Sets

2024 · IEEE Transactions on Knowledge and Data Engineering

Inferring causal structures from experimentation is a challenging task in many fields. Most causal structure learning algorithms with unknown interventions are proposed to discover causal relationships over an identical variable set. However, often due to …

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Graph Neural Networks are powerful tools for modeling graph-structured data but their interpretability remains a significant challenge. Existing model-agnostic GNN explainers aim to identify critical subgraphs or node features relevant to task predictions but often …