HIGHLIGHTS
- who: Yue Wu et al. from the School of Computer Science and Technology, Xidian University, Xi`an, China have published the research: Learning Data-Driven Propagation Mechanism for Graph Neural Network, in the Journal: Electronics 2023, 12, 46. of /2023/
- what: To alleviate this problem the authors propose a data-driven propagation mechanism to adaptively propagate information between layers. The authors provide a quantitative comparison of the node classification task under different datasets, showing the good performance of the model. The focus of the work is to better exploit the representational power of GNNs. The . . .
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