activity
20222026
most citedRAW-GNN: RAndom Walk Aggregation based Graph Neural Network

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

GraphCert: Bootstrap Agentic Graph Reasoning with Certified Evidence Rubrics

Weiqi Jiang, Yuchen Ying, Rui Wang +5

Graph agents extend large language models (LLMs) with the ability to actively explore and reason over knowledge graphs through multi-step interactions with graph tools. However, tr…

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 Layer-Wise Exchange for Cross-Client Money Laundering Pattern Detection

Selin Ceydeli, Rui Wang, Kubilay Atasu

Subgraph pattern detection is a fundamental graph mining task central to anti-money laundering (AML) in finance. However, state-of-the-art graph neural network (GNN)-based methods…

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…

cs.LG2022★ 8 cited

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network

Di Jin, Rui Wang, Meng Ge +4

Graph-Convolution-based methods have been successfully applied to representation learning on homophily graphs where nodes with the same label or similar attributes tend to connect…