Shengbo Gong

According to our database, Shengbo Gong authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PathMLP: Smooth path towards high-order homophily.

Jiajun Zhou, Chenxuan Xie, Shengbo Gong, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang

Neural Networks, 2024

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights.

Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin

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, Shanqing Yu, Qi Xuan

CoRR, 2024

A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

Mohammad Hashemi, Shengbo Gong, Juntong Ni, Wenqi Fan, B. Aditya Prakash, Wei Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

PathMLP: Smooth Path Towards High-order Homophily.

Chenxuan Xie, Jiajun Zhou, Shengbo Gong, Jiacheng Wan, Jiaxu Qian, Shanqing Yu, Qi Xuan, Xiaoniu Yang

CoRR, 2023

Clarify Confused Nodes Through Separated Learning.

Shengbo Gong, Jiajun Zhou, Qi Xuan

CoRR, 2023

Neighborhood Homophily-Guided Graph Convolutional Network.

Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan

CoRR, 2023

Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum.

Chengxiang Jin, Jiajun Zhou, Shengbo Gong, Chenxuan Xie, Qi Xuan

Proceedings of the IEEE International Conference on Data Mining, 2023

Neighborhood Homophily-based Graph Convolutional Network.

Shengbo Gong, Jiajun Zhou, Chenxuan Xie, Qi Xuan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction.

Panpan Li, Shengbo Gong, Shaocong Xu, Jiajun Zhou, Shanqing Yu, Qi Xuan

Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

2021

BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast.

Jiajun Zhou, Chenkai Hu, Shengbo Gong, Jiaying Xu, Jie Shen, Qi Xuan

CoRR, 2021

Graph Modularity: Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.

Yao Lu, Wen Yang, Yunzhe Zhang, Jinhuan Wang, Shengbo Gong, Zhuangzhi Chen, Zuohui Chen, Qi Xuan, Xiaoniu Yang

CoRR, 2021