Zero-Determinant Strategies in the Iterated Public Goods Game. - Liming Pan; Dong Hao; Zhihai Rong; Tao Zhou 001 (CoRR, 2014)

Effective information spreading based on local information in correlated networks. - Lei Gao; Wei Wang 070; Liming Pan; Ming Tang 004; Hai-Feng Zhang 003 (CoRR, 2016)

Link Prediction via Matrix Completion. - Ratha Pech; Dong Hao; Liming Pan; Hong Cheng; Tao Zhou 001 (CoRR, 2016)

Optimal interlayer structure for information spreading on multilayer networks. - Liming Pan; Wei Wang 070; Shimin Cai; Tao Zhou 001 (CoRR, 2019)

Optimizing spreading dynamics in interconnected networks. - Liming Pan; Wei Wang 070; Shimin Cai; Tao Zhou 001 (CoRR, 2019)

Misinformation spreading on correlated multiplex networks. - Jiajun Xian; Dan Yang 005; Liming Pan; Wei Wang 070; Zhen Wang 004 (CoRR, 2019)

Containing rumors spreading on correlated multiplex networks. - Jiajun Xian; Dan Yang 005; Liming Pan; Ming Liu; Wei Wang 070 (CoRR, 2019)

Effective Edge-Based Approach for Promoting the Spreading of Information. - Dan Yang 005; Jiajun Xian; Liming Pan; Wei Wang 070; Tao Zhou 001 (IEEE Access, 2020)

Identifying the Influential Latent Edges for Promoting the Co-SIR Model. - Dan Yang 005; Liming Pan; Zhi-Dan Zhao; Tao Zhou 001 (Complex., 2021)

Predicting hyperlinks via hypernetwork loop structure. - Liming Pan; Hui-Juan Shang; Peiyan Li; Haixing Dai; Wei Wang 070; Lixin Tian (CoRR, 2021)

Neural Link Prediction with Walk Pooling. - Liming Pan; Cheng Shi; Ivan Dokmanic (ICLR, 2022)

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. - Haixing Dai; Qing Li 027; Lin Zhao 004; Liming Pan; Cheng Shi; Zhengliang Liu; Zihao Wu 001; Lu Zhang 050; Shijie Zhao 001; Xia Wu 001; Tianming Liu 001; Dajiang Zhu (MLMI@MICCAI, 2022)

Competing spreading dynamics in simplicial complex. - WenYao Li 001; Xiaoyu Xue; Liming Pan; Tao Lin; Wei Wang 070 (Appl. Math. Comput., 2022)

Markovian approach to tackle competing pathogens in simplicial complex. - Yanyi Nie; Wenyao Li 001; Liming Pan; Tao Lin; Wei Wang 070 (Appl. Math. Comput., 2022)

Generalized k-core percolation on higher-order dependent networks. - Wei Wang 070; Wenyao Li 001; Tao Lin; Tao Wu 003; Liming Pan; Yanbing Liu (Appl. Math. Comput., 2022)

Personalized recommendation system based on social relationships and historical behaviors. - Yan-Li Lee 001; Tao Zhou 001; Kexin Yang 002; Yajun Du; Liming Pan (CoRR, 2022)

Statistical Mechanics of Generalization In Graph Convolution Networks. - Cheng Shi; Liming Pan; Hong Hu; Ivan Dokmanic (CoRR, 2022)

Interpretable Subgraph Feature Extraction for Hyperlink Prediction. - Peiyan Li; Liming Pan; Kai Li; Claudia Plant; Christian Böhm 001 (ICDM, 2023)

Personalized recommender systems based on social relationships and historical behaviors. - Yan-Li Lee 001; Tao Zhou 001; Kexin Yang 002; Yajun Du; Liming Pan (Appl. Math. Comput., 2023)

A Dynamical Graph Prior for Relational Inference. - Liming Pan; Cheng Shi; Ivan Dokmanic (CoRR, 2023)

Identify Influential Spreaders in Asymmetrically Interacting Multiplex Networks. - Ying Liu 040; Qi Zeng; Liming Pan; Ming Tang 004 (IEEE Trans. Netw. Sci. Eng., 2023)

A Graph Dynamics Prior for Relational Inference. - Liming Pan; Cheng Shi; Ivan Dokmanic (AAAI, 2024)

A Multitask Feature Fusion Network for Woven Fabric Density Analysis. - Meifei Ding; Liming Pan; Mingmin Chi (IEEE Access, 2024)

A spring-block theory of feature learning in deep neural networks. - Cheng Shi; Liming Pan; Ivan Dokmanic (CoRR, 2024)

Identifying influential nodes on directed networks. - Yan-Li Lee 001; Yi-Fei Wen; Wen-Bo Xie; Liming Pan; Yajun Du; Tao Zhou 001 (Inf. Sci., 2024)

Neural Activity in Quarks Language: Lattice Field Theory for a Network of Real Neurons. - Giampiero Bardella; Simone Franchini; Liming Pan; Riccardo Balzan; Surabhi Ramawat; Emiliano Brunamonti; Pierpaolo Pani; Stefano Ferraina (Entropy, 2024)

Alleviating subgraph-induced oversmoothing in link prediction via coarse graining. - Xudong Zhu; Dong Hao; Ziqin Gao; Liming Pan (Neurocomputing, 2025)

A large-scale group consensus decision-making method based on historical data in dynamic social networks. - Juanjuan Peng; Liming Pan; Shuwen Xue; Qingqi Long (Inf. Sci., 2025)

RIVA: Efficient relational inference with variate attention. - Ruizi Wu; Liming Pan; Linyuan Lü (Neural Networks, 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, 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, 2025)