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Journal Articles
- 2025
[j3]Jiajun Zhou
, Chenxuan Xie, Shengbo Gong, Zhenyu Wen, Xiangyu Zhao, Qi Xuan, Xiaoniu Yang:
Data Augmentation on Graphs: A Technical Survey. ACM Comput. Surv. 57(11): 274:1-274:34 (2025)- [j2]Jiajun Zhou, Shengbo Gong, Xuanze Chen, Chenxuan Xie, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
Clarify Confused Nodes via Separated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2882-2896 (2025) - 2024
- [j1]Jiajun Zhou, Chenxuan Xie, Shengbo Gong, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
PathMLP: Smooth path towards high-order homophily. Neural Networks 180: 106650 (2024)
Conference and Workshop Papers
- 2024
- [c4]Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin:
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. IJCAI 2024: 8058-8066 - 2023
- [c3]Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-based Graph Convolutional Network. CIKM 2023: 3908-3912 - [c2]Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. ICDM (Workshops) 2023: 649-655 - 2022
- [c1]Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. BlockSys 2022: 237-250
Informal and Other Publications
- 2025
- [i12]Shengbo Gong, Mohammad Hashemi, Juntong Ni, Carl Yang, Wei Jin:
Scalable Graph Condensation with Evolving Capabilities. CoRR abs/2502.17614 (2025) - [i11]Songyuan Liu, Shengbo Gong, Tianning Feng, Zewen Liu, Max S. Y. Lau, Wei Jin:
Higher-order Interaction Matters: Dynamic Hypergraph Neural Networks for Epidemic Modeling. CoRR abs/2503.20114 (2025) - [i10]Shengbo Gong, Xianfeng Tang, Carl Yang, Wei Jin:
Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking. CoRR abs/2508.02435 (2025) - 2024
- [i9]Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin:
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation. CoRR abs/2402.03358 (2024) - [i8]Xuanze Chen, Chenkai Hu, Shengbo Gong, Chengxiang Jin, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection. CoRR abs/2405.08278 (2024) - [i7]Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin:
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR abs/2406.16715 (2024) - 2023
- [i6]Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan:
Neighborhood Homophily-Guided Graph Convolutional Network. CoRR abs/2301.09851 (2023) - [i5]Shengbo Gong, Jiajun Zhou, Qi Xuan:
Clarify Confused Nodes Through Separated Learning. CoRR abs/2306.02285 (2023) - [i4]Chenxuan Xie, Jiajun Zhou, Shengbo Gong, Jiacheng Wan, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang:
PathMLP: Smooth Path Towards High-order Homophily. CoRR abs/2306.13532 (2023) - [i3]Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan:
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum. CoRR abs/2310.00856 (2023) - 2022
- [i2]Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction. CoRR abs/2205.00974 (2022) - 2021
- [i1]Jiajun Zhou, Chenkai Hu, Shengbo Gong, Jiaying Xu, Jie Shen, Qi Xuan:
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast. CoRR abs/2112.03659 (2021)
Coauthor Index
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