no code implementations • 19 Apr 2024 • Zhenzhong Wang, Qingyuan Zeng, WanYu Lin, Min Jiang, Kay Chen Tan
While graph neural networks (GNNs) have become the de-facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples.
no code implementations • 8 Jan 2021 • Zhenzhong Wang, Haokai Hong, Kai Ye, Min Jiang, Kay Chen Tan
However, traditional evolutionary algorithms for solving LSMOPs have some deficiencies in dealing with this structural manifold, resulting in poor diversity, local optima, and inefficient searches.
no code implementations • 19 Oct 2019 • Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan
In recent years, transfer learning has been proven to be a kind of effective approach in solving DMOPs.