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Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.

X. Lin, C. Zhou, J. Wu, L. Zou, S. Pan, Y. Cao, B. Wang, S. Wang, и D. Yin. IEEE Trans. Knowl. Data Eng., 36 (4): 1815-1828 (апреля 2024)

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Lin Lin

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Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.X. Lin, C. Zhou, J. Wu, L. Zou, S. Pan, Y. Cao, B. Wang, S. Wang, и D. Yin. IEEE Trans. Knowl. Data Eng., 36 (4): 1815-1828 (апреля 2024)Bipartite Graph Embedding via Mutual Information Maximization.J. Cao, X. Lin, S. Guo, L. Liu, T. Liu, и B. Wang. WSDM, стр. 635-643. ACM, (2021)Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.X. Lin, H. Yang, J. Wu, C. Zhou, и B. Wang. ICDM, стр. 429-438. IEEE, (2019)Task-adaptive Neural Process for User Cold-Start Recommendation.X. Lin, J. Wu, C. Zhou, S. Pan, Y. Cao, и B. Wang. WWW, стр. 1306-1316. ACM / IW3C2, (2021)Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification.X. Lin, C. Zhou, J. Wu, H. Yang, H. Wang, Y. Cao, и B. Wang. Pattern Recognit., (2023)Exploratory Adversarial Attacks on Graph Neural Networks.X. Lin, C. Zhou, H. Yang, J. Wu, H. Wang, Y. Cao, и B. Wang. ICDM, стр. 1136-1141. IEEE, (2020)Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.X. Lin, J. Cao, P. Zhang, C. Zhou, Z. Li, J. Wu, и B. Wang. ICDM, стр. 360-369. IEEE, (2021)Learning Common Dependency Structure for Unsupervised Cross-Domain Ner.L. Liu, X. Lin, P. Zhang, L. Zhang, и B. Wang. ICASSP, стр. 8347-8351. IEEE, (2022)DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation.J. Cao, X. Lin, X. Cong, J. Ya, T. Liu, и B. Wang. SIGIR, стр. 267-277. ACM, (2022)A Knowledge Base Completion Model Based on Path Feature Learning.X. Lin, Y. Liang, L. Wang, X. Wang, M. Yang, и R. Guan. Int. J. Comput. Commun. Control, 13 (1): 71-82 (2018)

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Lin Lin

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Lin Lin

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