Adversarial Enhancement for Community Detection in Complex Networks. - Jiajun Zhou 003; Zhi Chen 028; Min Du 003; Lihong Chen; Shanqing Yu; Feifei Li 001; Guanrong Chen; Qi Xuan 001 (CoRR, 2019)

Data Augmentation for Graph Classification. - Jiajun Zhou 003; Jie Shen 014; Qi Xuan 001 (CIKM, 2020)

Identity Inference on Blockchain Using Graph Neural Network. - Jie Shen 014; Jiajun Zhou 003; Yunyi Xie; Shanqing Yu; Qi Xuan 001 (BlockSys, 2021)

BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast. - Jiajun Zhou 003; Chenkai Hu; Shengbo Gong; Jiaying Xu; Jie Shen 014; Qi Xuan 001 (CoRR, 2021)

Sampling Subgraph Network With Application to Graph Classification. - Jinhuan Wang; Pengtao Chen; Bin Ma 025; Jiajun Zhou 003; Zhongyuan Ruan; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification. - Jiajun Zhou 003; Jie Shen 014; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Corrections to "M-Evolve: Structural-Mapping-Based Data Augmentation for Graph Classification". - Jiajun Zhou 003; Jie Shen 014; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2021)

Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. - Panpan Li; Shengbo Gong; Shaocong Xu; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (BlockSys, 2022)

SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph. - Shanqing Yu; Shihan Zhang; Jianlin Zhang; Jiajun Zhou 003; Qi Xuan 001; Bing Li; Xiaojuan Hu (CoRR, 2022)

Dual-channel Early Warning Framework for Ethereum Ponzi Schemes. - Jie Jin; Jiajun Zhou 003; Chengxiang Jin; Shanqing Yu; Ziwan Zheng; Qi Xuan 001 (CoRR, 2022)

Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence. - Shanqing Yu; Yijun Wu; Ran Gan; Jiajun Zhou 003; Ziwan Zheng; Qi Xuan 001 (CoRR, 2022)

Data Augmentation on Graphs: A Survey. - Jiajun Zhou 003; Chenxuan Xie; Zhenyu Wen; Xiangyu Zhao 001; Qi Xuan 001 (CoRR, 2022)

Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum. - Chengxiang Jin; Jie Jin; Jiajun Zhou 003; Jiajing Wu; Qi Xuan 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Behavior-Aware Account De-Anonymization on Ethereum Interaction Graph. - Jiajun Zhou 003; Chenkai Hu; Jianlei Chi; Jiajing Wu; Meng Shen 001; Qi Xuan 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Neighborhood Homophily-based Graph Convolutional Network. - Shengbo Gong; Jiajun Zhou 003; Chenxuan Xie; Qi Xuan 001 (CIKM, 2023)

PathMLP: Smooth Path Towards High-order Homophily. - Chenxuan Xie; Jiajun Zhou 003; Shengbo Gong; Jiacheng Wan; Jiaxu Qian; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2023)

RobustECD: Enhancement of Network Structure for Robust Community Detection. - Jiajun Zhou 003; Zhi Chen 028; Min Du 003; Lihong Chen; Shanqing Yu; Guanrong Chen; Qi Xuan 001 (IEEE Trans. Knowl. Data Eng., 2023)

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures. - Hao Song; Jiacheng Yao; Xuanze Chen; Shaocong Xu; Shibo Jin; Jiajun Zhou 003; Chenbo Fu; Qi Xuan 001; Shanqing Yu (DSPP (1), 2024)

A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures. - Hao Song; Jiacheng Yao; Zhengxi Li; Shaocong Xu; Shibo Jin; Jiajun Zhou 003; Chenbo Fu; Qi Xuan 001; Shanqing Yu (CoRR, 2024)

Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection. - Xuanze Chen; Chenkai Hu; Shengbo Gong; Chengxiang Jin; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Dual-view Aware Smart Contract Vulnerability Detection for Ethereum. - Jiacheng Yao; Maolin Wang; Wanqi Chen; Chengxiang Jin; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision. - Chenxiang Jin; Jiajun Zhou 003; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2024)

Network Anomaly Traffic Detection via Multi-view Feature Fusion. - Song Hao; Wentao Fu; Xuanze Chen; Chengxiang Jin; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

Rethinking Graph Transformer Architecture Design for Node Classification. - Jiajun Zhou 003; Xuanze Chen; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2024)

Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs. - Jiajun Zhou 003; Jiacheng Yao; Xuanze Chen; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2024)

PathMLP: Smooth path towards high-order homophily. - Jiajun Zhou 003; Chenxuan Xie; Shengbo Gong; Jiaxu Qian; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (Neural Networks, 2024)

Time-Aware Metapath Feature Augmentation for Ponzi Detection in Ethereum. - Chengxiang Jin; Jiajun Zhou 003; Jie Jin; Jiajing Wu; Qi Xuan 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification. - Xuanze Chen; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (WWW (Companion Volume), 2025)

Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-Supervision. - Chengxiang Jin; Jiajun Zhou 003; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Inf. Forensics Secur., 2025)

Multi-view Correlation-aware Network Traffic Detection on Flow Hypergraph. - Jiajun Zhou 003; Wentao Fu; Hao Song; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (CoRR, 2025)

Mixture of Decoupled Message Passing Experts with Entropy Constraint for General Node Classification. - Xuanze Chen; Jiajun Zhou 003; Jinsong Chen; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Unveiling Latent Information in Transaction Hashes: Hypergraph Learning for Ethereum Ponzi Scheme Detection. - Junhao Wu; Yixin Yang; Chengxiang Jin; Silu Mu; Xiaolei Qian; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection. - Songtao Peng; Lei Wang; Wu Shuai; Hao Song; Jiajun Zhou 003; Shanqing Yu; Qi Xuan 001 (CoRR, 2025)

Clarify Confused Nodes via Separated Learning. - Jiajun Zhou 003; Shengbo Gong; Xuanze Chen; Chenxuan Xie; Shanqing Yu; Qi Xuan 001; Xiaoniu Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Data Augmentation on Graphs: A Technical Survey. - Jiajun Zhou 003; Chenxuan Xie; Shengbo Gong; Zhenyu Wen; Xiangyu Zhao 001; Qi Xuan 001; Xiaoniu Yang (ACM Comput. Surv., 2025)