1. IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction;An;Neural Networks,2021
2. Multi-view graph convolutional networks with differentiable node selection;Chen;ACM Transactions on Knowledge Discovery from Data,2023
3. Learnable graph convolutional network and feature fusion for multi-view learning;Chen;Information Fusion,2023
4. Chen, M., Wei, Z., Huang, Z., Ding, B., & Li, Y. (2020). Simple and deep graph convolutional networks. In Proceedings of the international conference on machine learning (pp. 1725–1735).
5. Representation learning meets optimization-derived networks: From single-view to multi-view;Fang;IEEE Transactions on Multimedia,2024