Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks Z Huang, K Li, Y Jiang, Z Jia, L Lv, Y Ma Knowledge-Based Systems 301, 112311, 2024 | 43 | 2024 |
Rahg: A role-aware hypergraph neural network for node classification in graphs K Li, Z Huang, Z Jia IEEE Transactions on Network Science and Engineering 10 (4), 2098-2108, 2023 | 13 | 2023 |
SGCN: A scalable graph convolutional network with graph-shaped kernels and multi-channels Z Huang, W Zhou, K Li, Z Jia Knowledge-Based Systems 279, 110923, 2023 | 5 | 2023 |
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks Z Huang, K Li, S Wang, Z Jia, W Zhu, S Mehrotra 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2945-2958, 2024 | 3 | 2024 |
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks Z Huang, K Li, S Wang, Z Jia, W Zhu, S Mehrotra arXiv preprint arXiv:2407.11361, 2024 | | 2024 |