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Hiding ourselves from community detection through genetic algorithms., , , и . Inf. Sci., (2022)Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis., , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 7 (2): 82:1-82:21 (2023)Complex Attributed Network Embedding for medical complication prediction., , , , , и . Knowl. Inf. Syst., 64 (9): 2435-2456 (2022)Decoupled Representation Learning for Attributed Networks., , , , , и . IEEE Trans. Knowl. Data Eng., 35 (3): 2430-2444 (марта 2023)Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification., , , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (6): 6043-6057 (июня 2023)A Dynamic and Cooperative Tracking System for Crowdfunding., , , , и . CoRR, (2020)Heterogeneous-attributes enhancement deep framework for network embedding., , , , и . Frontiers Comput. Sci., 15 (6): 156616 (2021)An effective approach for mining mobile user habits., , , , и . CIKM, стр. 1677-1680. ACM, (2010)Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement., , , , , , , , , и . CIKM, стр. 3257-3267. ACM, (2023)Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation., , , , , и . ECML/PKDD (3), том 13715 из Lecture Notes in Computer Science, стр. 251-268. Springer, (2022)