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BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts.

, , , , , and . SIGIR, page 485-495. ACM, (2023)

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