Subject
Artificial Intelligence,Cognitive Neuroscience
Reference40 articles.
1. Beyond low-frequency information in graph convolutional networks;Bo,2021
2. SMOTEBoost: Improving prediction of the minority class in boosting;Chawla,2003
3. Iterative deep graph learning for graph neural networks: Better and robust node embeddings;Chen;Advances in Neural Information Processing Systems,2020
4. Dou, Y., Liu, Z., Sun, L., Deng, Y., Peng, H., & Yu, P. S. (2020). Enhancing graph neural network-based fraud detectors against camouflaged fraudsters. In Proceedings of the 29th ACM international conference on information & knowledge management (pp. 315–324).
5. Du, L., Shi, X., Fu, Q., Ma, X., Liu, H., Han, S., et al. (2022). GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. In Proceedings of the ACM web conference 2022 (pp. 1550–1558).
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