3 papers
econ.EM2026
Graph Neural Networks for Generalized Mundlak Estimator under Network Confounding
Lianyan Fu, Rui Wang, Zihan Zhang
This paper proposes a generalized Mundlak estimator based on graph neural networks (GME-GNN). The estimator is designed to mitigate bias arising from group-level heterogeneity and…
cs.LG2026
Federated Cross-Client Subgraph Pattern Detection
Selin Ceydeli, Rui Wang, Kubilay Atasu
Subgraph pattern detection aims to uncover complex interaction structures in graphs. However, state-of-the-art graph neural network (GNN)-based solutions assume centralized access…
cs.AI2025
Neural Graph Navigation for Intelligent Subgraph Matching
Yuchen Ying, Yiyang Dai, Wenda Li +6
Subgraph matching, a cornerstone of relational pattern detection in domains ranging from biochemical systems to social network analysis, faces significant computational challenges…