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3. Measuring and relieving the over-smoothing problem for graph neural networks from the topological view;Chen,2020
4. Iterative deep graph learning for graph neural networks: better and robust node embeddings;Chen;Adv. Neural Inf. Process. Syst.,2020
5. Adversarial attack on graph structured data;Dai,2018