Linyuan Lv

According to our database, Linyuan Lv authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

Community-Driven Contrastive Learning: Enhancing Global Representation in Graph Neural Networks.

Wenhao Zhou, Zhenhua Huang, Shaojie Wang, Junfeng Fang, Zhaohong Jia, Linyuan Lv, Xiaohui Xie

IEEE Trans. Artif. Intell., June, 2026

ASIND: Alternating Sparse Identification for Predicting Network Dynamics Without Knowledge.

Mingyu Kang, Jianxi Gao, Wenwu Yu, Linyuan Lv

CoRR, May, 2026

Code2World: A GUI World Model via Renderable Code Generation.

Yuhao Zheng, Li'an Zhong, Yi Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu, Linyuan Lv, Philip Torr, Kevin Qinghong Lin

CoRR, February, 2026

2025

Basic Cycle Ratio: Cost-Effective Ranking of Influential Spreaders from Local and Global Perspectives.

Wenxin Zheng, Wenfeng Shi, Tianlong Fan, Linyuan Lv

CoRR, September, 2025

Revealing Chaotic Dependence and Degree-Structure Mechanisms in Optimal Pinning Control of Complex Networks.

Qingyang Liu, Tianlong Fan, Liming Pan, Linyuan Lv

CoRR, September, 2025

Critical Nodes Identification in Complex Networks: A Survey.

Duxin Chen, Jiawen Chen, Xiaoyu Zhang, Qinghan Jia, Xiaolu Liu, Ye Sun, Linyuan Lv, Wenwu Yu

CoRR, July, 2025

EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting.

Chenghua Gong, Rui Sun, Yuhao Zheng, Juyuan Zhang, Tianjun Gu, Liming Pan, Linyuan Lv

CoRR, May, 2025

AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models.

Yuhao Zheng, Chenghua Gong, Rui Sun, Juyuan Zhang, Liming Pan, Linyuan Lv

CoRR, February, 2025

2024

Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks.

Zhenhua Huang, Kunhao Li, Yihang Jiang, Zhaohong Jia, Linyuan Lv, Yunjie Ma

Knowl. Based Syst., 2024