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Adversarial Attack on Large Scale Graph., , , , , and . CoRR, (2020)Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift., , , , , , and . CoRR, (2022)Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective., , , , , and . HBAI@IJCAI, volume 1369 of Communications in Computer and Information Science, page 87-101. Springer, (2020)Fair Graph Representation Learning via Sensitive Attribute Disentanglement., , , and . WWW, page 1182-1192. ACM, (2024)MaskGAE: Masked Graph Modeling Meets Graph Autoencoders., , , , , , , , and . CoRR, (2022)GUARD: Graph Universal Adversarial Defense., , , , , , and . CoRR, (2022)Spectral Adversarial Training for Robust Graph Neural Network., , , , , and . CoRR, (2022)What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders., , , , , , , , and . KDD, page 1268-1279. ACM, (2023)Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding., , , , , , , , and . ICDM, page 190-199. IEEE, (2023)GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software., , , , and . ICSE (Companion Volume), page 13-16. IEEE, (2021)