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Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers., , , и . AAAI, стр. 3977-3985. AAAI Press, (2022)A new algorithm for testing diagnosability of fuzzy discrete event systems., , , и . Inf. Sci., 185 (1): 100-113 (2012)Adversarial Attacks on Fairness of Graph Neural Networks., , , , , и . CoRR, (2023)A Deep Multi-View Framework for Anomaly Detection on Attributed Networks., , , , и . IEEE Trans. Knowl. Data Eng., 34 (6): 2539-2552 (2022)Self-weighted Robust LDA for Multiclass Classification with Edge Classes., , , , , , и . ACM Trans. Intell. Syst. Technol., 12 (1): 4:1-4:19 (2021)SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation., , , , , , и . AAAI, стр. 2480-2488. AAAI Press, (2024)BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency., , , , , , , и . ACL (1), стр. 10326-10340. Association for Computational Linguistics, (2023)BotPercent: Estimating Bot Populations in Twitter Communities., , , , , , и . EMNLP (Findings), стр. 14295-14312. Association for Computational Linguistics, (2023)LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection., , , , , , и . WSDM, стр. 57-66. ACM, (2024)TwiBot-22: Towards Graph-Based Twitter Bot Detection., , , , , , , , , и 12 other автор(ы). NeurIPS, (2022)