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

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

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

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. - Chengxiang Jin; Jiajun Zhou; Shengbo Gong; Chenxuan Xie; Qi Xuan 001 (ICDM (Workshops), 2023)

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

Clarify Confused Nodes Through Separated Learning. - Shengbo Gong; Jiajun Zhou; Qi Xuan 001 (CoRR, 2023)

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

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. - Mohammad Hashemi; Shengbo Gong; Juntong Ni; Wenqi Fan; B. Aditya Prakash; Wei Jin 009 (IJCAI, 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; Shanqing Yu; Qi Xuan 001 (CoRR, 2024)

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. - Shengbo Gong; Juntong Ni; Noveen Sachdeva; Carl Yang 001; Wei Jin 009 (CoRR, 2024)

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

Scalable Graph Condensation with Evolving Capabilities. - Shengbo Gong; Mohammad Hashemi; Juntong Ni; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling. - Songyuan Liu; Shengbo Gong; Tianning Feng; Zewen Liu 005; Max S. Y. Lau; Wei Jin 009 (CoRR, 2025)

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

Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. - Shengbo Gong; Xianfeng Tang; Carl Yang 001; Wei Jin 009 (CoRR, 2025)

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