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Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs., , , , , , and . AAAI, page 4299-4307. AAAI Press, (2022)DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection., , , , , , , and . NeurIPS, (2022)Understanding Translationese in Cross-Lingual Summarization., , , , , , and . EMNLP (Findings), page 3837-3849. Association for Computational Linguistics, (2023)Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks., , , , , , and . NeurIPS, (2023)Can Modifying Data Address Graph Domain Adaptation?, , , , and . KDD, page 1131-1142. ACM, (2024)NGUARD: A Game Bot Detection Framework for NetEase MMORPGs., , , , , and . KDD, page 811-820. ACM, (2018)Unsupervised Adversarially-Robust Representation Learning on Graphs., , , , , and . CoRR, (2020)When to Pre-Train Graph Neural Networks? From Data Generation Perspective!, , , , , , , and . KDD, page 142-153. ACM, (2023)DropMessage: Unifying Random Dropping for Graph Neural Networks., , , , , and . AAAI, page 4267-4275. AAAI Press, (2023)Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder., , , and . WSDM, page 304-312. ACM, (2024)