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NGUARD: A Game Bot Detection Framework for NetEase MMORPGs., , , , , и . KDD, стр. 811-820. ACM, (2018)Unsupervised Adversarially-Robust Representation Learning on Graphs., , , , , и . CoRR, (2020)Understanding Translationese in Cross-Lingual Summarization., , , , , , и . CoRR, (2022)DropMessage: Unifying Random Dropping for Graph Neural Networks., , , , , и . AAAI, стр. 4267-4275. AAAI Press, (2023)Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder., , , и . WSDM, стр. 304-312. ACM, (2024)Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning., , , , , , , и . NeurIPS Datasets and Benchmarks, (2021)Unifying Structure Reasoning and Language Pre-Training for Complex Reasoning Tasks., , , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2024)When to Pre-Train Graph Neural Networks? From Data Generation Perspective!, , , , , , , и . KDD, стр. 142-153. ACM, (2023)Towards Fair Graph Federated Learning via Incentive Mechanisms., , , , , , , и . CoRR, (2023)Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs., , , , , , и . AAAI, стр. 4299-4307. AAAI Press, (2022)