Guang Zeng

According to our database, Guang Zeng authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty.

Yanzhe Wen, Xunkai Li, Qi Zhang, Zhu Lei, Guang Zeng, Rong-Hua Li, Guoren Wang

CoRR, May, 2025

Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective.

Henan Sun, Xunkai Li, Lei Zhu, Junyi Han, Guang Zeng, Ronghua Li, Guoren Wang

CoRR, May, 2025

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach.

Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang

CoRR, May, 2025

Truss Decomposition in Hypergraphs.

Hongchao Qin, Guang Zeng, Ronghua Li, Longlong Lin, Ye Yuan, Guoren Wang

Proc. VLDB Endow., March, 2025

Rethinking Graph Structure Learning in the Era of LLMs.

Zhihan Zhang, Xunkai Li, Guang Zeng, Hongchao Qin, Ronghua Li, Guoren Wang

CoRR, March, 2025

Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach.

Huilin Lai, Guang Zeng, Xunkai Li, Xudong Shen, Yinlin Zhu, Ye Luo, Jianwei Lu, Lei Zhu

CoRR, January, 2025

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach.

Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang

Proceedings of the ACM on Web Conference 2025, 2025

2024

Causal Interventional Prediction System for Robust and Explainable Effect Forecasting.

Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2022

Hierarchical Capsule Prediction Network for Marketing Campaigns Effect.

Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022