Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. - Zhixuan Chu; Hui Ding; Guang Zeng 001; Yuchen Huang; Tan Yan; Yulin Kang; Sheng Li 001 (CIKM, 2022)

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. - Zhixuan Chu; Hui Ding; Guang Zeng 001; Shiyu Wang 001; Yiming Li 004 (CIKM, 2024)

On Temporal-Constraint Subgraph Matching. - Xiaoyu Leng; Guang Zeng 001; Hongchao Qin; Longlong Lin; Rong-Hua Li (ICDE, 2025)

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. - Xunkai Li; Daohan Su; Zhengyu Wu; Guang Zeng 001; Hongchao Qin; Rong-Hua Li; Guoren Wang (WWW, 2025)

Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach. - Huilin Lai; Guang Zeng 001; Xunkai Li; Xudong Shen; Yinlin Zhu; Ye Luo; Jianwei Lu; Lei Zhu (CoRR, 2025)

Rethinking Graph Structure Learning in the Era of LLMs. - Zhihan Zhang; Xunkai Li; Guang Zeng 001; Hongchao Qin; Ronghua Li; Guoren Wang (CoRR, 2025)

Truss Decomposition in Hypergraphs. - Hongchao Qin; Guang Zeng 001; Ronghua Li; Longlong Lin; Ye Yuan 001; Guoren Wang (Proc. VLDB Endow., 2025)

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. - Xunkai Li; Zhengyu Wu; Kaichi Yu; Hongchao Qin; Guang Zeng 001; Rong-Hua Li; Guoren Wang (CoRR, 2025)

Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective. - Henan Sun; Xunkai Li; Lei Zhu; Junyi Han; Guang Zeng 001; Ronghua Li; Guoren Wang (CoRR, 2025)

When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty. - Yanzhe Wen; Xunkai Li; Qi Zhang 010; Zhu Lei; Guang Zeng 001; Rong-Hua Li; Guoren Wang (CoRR, 2025)