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Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning.

, , , , , , , и . CoRR, (2022)

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Yanfang Wu

Yanfang Guan

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Ye Hu

Fei Ye

 

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Survival neural networks for time-to-event prediction in longitudinal study., , , , , , и . Knowl. Inf. Syst., 62 (9): 3727-3751 (2020)α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19., , , , , , , и . CoRR, (2020)AiDroid: When Heterogeneous Information Network Marries Deep Neural Network for Real-time Android Malware Detection., , , , , , , и . CoRR, (2018)Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning., , , , , , , и . CoRR, (2022)Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion., , , , и . CoRR, (2021)$\alpha$-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States., , , , , , , , , и . IEEE J. Biomed. Health Informatics, 24 (10): 2755-2764 (2020)Heterogeneous Temporal Graph Neural Network., , , и . SDM, стр. 657-665. SIAM, (2022)SecMD: Make Machine Learning More Secure Against Adversarial Malware Attacks., и . Australasian Conference on Artificial Intelligence, том 10400 из Lecture Notes in Computer Science, стр. 76-89. Springer, (2017)Detecting Opioid Users from Twitter and Understanding Their Perceptions Toward MAT., , , , и . ICDM Workshops, стр. 502-509. IEEE Computer Society, (2017)Make Evasion Harder: An Intelligent Android Malware Detection System., , , и . IJCAI, стр. 5279-5283. ijcai.org, (2018)