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GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation.

, , , , и . CIKM, стр. 545-554. ACM, (2020)

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Zhifeng Zhuang

Zhifeng Xue

Zhifeng Sun

Xiaofei Hao

Wenjin Hao

 

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Convergence time analysis of ant system algorithm., , и . Int. J. Model. Identif. Control., 15 (4): 304-309 (2012)Multi-context aware user-item embedding for recommendation., , , и . Neural Networks, (2020)Latent Causal Dynamics Model for Model-Based Reinforcement Learning., , , и . ICONIP (2), том 14448 из Lecture Notes in Computer Science, стр. 219-230. Springer, (2023)Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences., , , , , и . IJCAI, стр. 5702-5710. ijcai.org, (2023)Nonlinear energy harvesting from rotating system., , , и . Commun. Nonlinear Sci. Numer. Simul., (декабря 2023)An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables., , , , и . IEEE Trans. Neural Networks Learn. Syst., 31 (5): 1667-1680 (2020)Fuzzy Comprehensive Evaluation of E-commerce and Process Improvement., , , и . WINE, том 3828 из Lecture Notes in Computer Science, стр. 366-374. Springer, (2005)Identification of Linear Latent Variable Model with Arbitrary Distribution., , , , , и . AAAI, стр. 6350-6357. AAAI Press, (2022)Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering., , , , , , , и . AAAI, стр. 14633-14641. AAAI Press, (2024)An Approach for Inferring Causal Directions from Multi-Dimensional Networks., , , , и . CSE/EUC (1), стр. 388-392. IEEE Computer Society, (2017)