Coupled Node Similarity Learning for Community Detection in Attributed Networks. - Fanrong Meng; Xiaobin Rui; Zhixiao Wang; Yan Xing 003; Longbing Cao (Entropy, 2018)

Tracking the evolution of overlapping communities in dynamic social networks. - Zhixiao Wang; Zechao Li; Guan Yuan; Yunlian Sun; Xiaobin Rui; Xinguang Xiang (Knowl. Based Syst., 2018)

A reversed node ranking approach for influence maximization in social networks. - Xiaobin Rui; Fanrong Meng; Zhixiao Wang; Guan Yuan (Appl. Intell., 2019)

A neighbour scale fixed approach for influence maximization in social networks. - Xiaobin Rui; Xiaodong Yang; Jianping Fan 001; Zhixiao Wang (Computing, 2020)

A neighborhood link sensitive dismantling method for social networks. - Zhixiao Wang; Chengcheng Sun; Guan Yuan; Xiaobin Rui; Xiaodong Yang (J. Comput. Sci., 2020)

Superspreaders and superblockers based community evolution tracking in dynamic social networks. - Zhiou Xu; Xiaobin Rui; Jing He 008; Zhixiao Wang; Tarik Hadzibeganovic (Knowl. Based Syst., 2020)

Rumour Detection Based on Graph Convolutional Neural Net. - Na Bai; Fanrong Meng; Xiaobin Rui; Zhixiao Wang (IEEE Access, 2021)

Dismantling Networks by Skeleton Extraction and Greedy Tree Breaking. - Xiaobin Rui; Fanrong Meng; Yahui Chai; Zhixiao Wang; Philip S. Yu (IEEE Access, 2021)

Localization of multiple diffusion sources based on overlapping community detection. - Zhixiao Wang; Chengcheng Sun; Xiaobin Rui; Philip S. Yu; Lichao Sun 001 (Knowl. Based Syst., 2021)

Rumor detection based on a Source-Replies conversation Tree Convolutional Neural Net. - Na Bai; Fanrong Meng; Xiaobin Rui; Zhixiao Wang (Computing, 2022)

A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set. - Jiajun Tong; Zhixiao Wang; Xiaobin Rui (CoRR, 2022)

A topic-aware graph neural network model for knowledge base updating. - Jiajun Tong; Zhixiao Wang; Xiaobin Rui (CoRR, 2022)

Fair Re-Ranking Recommendation Based on Debiased Multi-graph Representations. - Fangyu Han; Shumei Wang; Jiayu Zhao; Renhui Wu; Xiaobin Rui; Zhixiao Wang (ADMA (1), 2023)

A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation. - Yahui Chai; Xiaobin Rui; Jie Yang 066; Philip S. Yu; Zhixiao Wang (DASFAA (3), 2023)

Graph Neural Network with Virtual Edge Message Passing for Heterophilous Graphs. - Chengcheng Sun; Qiang Niu; Xiaobin Rui; Zhixiao Wang (IJCNN, 2023)

Scalable Fair Influence Maximization. - Xiaobin Rui; Zhixiao Wang; Jiayu Zhao; Lichao Sun 001; Wei Chen 013 (NeurIPS, 2023)

Scalable Adversarial Attack Algorithms on Influence Maximization. - Lichao Sun 001; Xiaobin Rui; Wei Chen 013 (WSDM, 2023)

Boosting Commit Classification with Contrastive Learning. - Jiajun Tong; Zhixiao Wang; Xiaobin Rui (CoRR, 2023)

Incorprating Prompt tuning for Commit classification with prior Knowledge. - Jiajun Tong; Zhixiao Wang; Xiaobin Rui (CoRR, 2023)

An in-depth study on key nodes in social networks. - Chengcheng Sun; Zhixiao Wang; Xiaobin Rui; Philip S. Yu; Lichao Sun 001 (Intell. Data Anal., 2023)

A multi-task attention tree neural net for stance classification and rumor veracity detection. - Na Bai; Fanrong Meng; Xiaobin Rui; Zhixiao Wang (Appl. Intell., 2023)

Triadic Closure Sensitive Influence Maximization. - Jie Yang 066; Zhixiao Wang; Xiaobin Rui; Yahui Chai; Philip S. Yu; Lichao Sun 001 (ACM Trans. Knowl. Discov. Data, 2023)

Attention-based graph neural networks: a survey. - Chengcheng Sun; Chenhao Li; Xiang Lin; Tianji Zheng; Fanrong Meng; Xiaobin Rui; Zhixiao Wang (Artif. Intell. Rev., 2023)

Graph Link Prediction via Decay Coefficient based Proportional Aggregation and Hybrid Concatenation. - Jiaxin Zhuang; Yahui Chai; Xiaobin Rui; Zhixiao Wang (IJCNN, 2024)

MGRF: Multi-Graph Recommendation Framework with Heterogeneous and Homogeneous Graph Iterative Fusion. - Xiang Lin; Fangyu Han; Xiaobin Rui; Chengcheng Sun; Zhixiao Wang; Lijun Yan (Comput. Informatics, 2024)

Influence maximization in social networks based on discrete harris hawks optimization algorithm. - Chencheng Fan; Zhixiao Wang; Jian Zhang; Jiayu Zhao; Xiaobin Rui (Computing, 2024)

A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. - Zhixiao Wang; Yahui Chai; Chengcheng Sun; Xiaobin Rui; Hao Mi; Xinyu Zhang 012; Philip S. Yu (IEEE Trans. Cybern., 2024)

LGAT: a light graph attention network focusing on message passing for semi-supervised node classification. - Chengcheng Sun; Fanrong Meng; Chenhao Li; Xiaobin Rui; Zhixiao Wang (Computing, 2024)

Incorporating topic and property for knowledge base synchronization. - Jiajun Tong; Zhixiao Wang; Xiaobin Rui (Knowl. Inf. Syst., 2024)

Adaptive influence maximization with general partial feedback. - Xiaobin Rui; Jiaxin Ji; Zhixiao Wang (Expert Syst. Appl., 2025)

Trust enhanced POI recommendation with collaborative learning. - Renhui Wu; Hui Xu; Xiaobin Rui; Zhixiao Wang (Intell. Data Anal., 2025)

A General Concave Fairness Framework for Influence Maximization Based on Poverty Reward. - Zhixiao Wang; Jiayu Zhao; Chengcheng Sun; Xiaobin Rui; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2025)

Higher-order link prediction via light hypergraph neural network and hybrid aggregator. - Xiaobin Rui; Jiaxin Zhuang; Chengcheng Sun; Zhixiao Wang (Int. J. Mach. Learn. Cybern., 2025)

A Scalable Algorithm for Fair Influence Maximization With Unbiased Estimator. - Xiaobin Rui; Zhixiao Wang; Hao Peng 001; Wei Chen 013; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)