Monotonous
发表于 2025-3-25 03:57:19
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暂时过来
发表于 2025-3-25 09:10:55
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小母马
发表于 2025-3-25 12:14:54
https://doi.org/10.1007/978-3-658-02792-6 that a better embedding method be used to optimize the corresponding objective function. There are two challenges associated with graph embedding. First, the optimization algorithm is based on gradient descent and falls easily into the local optimum. Second, whether the objective function design is
某人
发表于 2025-3-25 18:39:34
https://doi.org/10.1007/978-3-658-02792-6s. The algorithm utilizes the graph attention mechanism to refresh embeddings efficiently, in which each update associate with local information only. To address the missing data, which is a common phenomenon in real-world networks, we model the auxiliary side information to capture more information
BOLT
发表于 2025-3-25 23:31:39
Problemstellung und Aufbau der Studie models, including link-preserving and Skip-Gram models, prove to be good approaches in both efficiency and accuracy on unsupervised tasks, even compared with state-of-the-art deep models. We first show that the optimization problem these models solve is equivalent to a Bayesian Inference problem, h
connoisseur
发表于 2025-3-26 00:29:45
Problemstellung und Aufbau der Studie user in real life or not. Because of the considerable increase in the number of created accounts in social networks, matching profiles across social networks has become a popular focus in a myriad of research works. Current methods in this field require accurate profile analysis to obtain a high us
arthroplasty
发表于 2025-3-26 04:25:21
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Oafishness
发表于 2025-3-26 09:00:03
978-3-030-65389-7Springer Nature Switzerland AG 2020
DUST
发表于 2025-3-26 16:01:11
,Russell’s discovery of the ‘paradoxes’,m subspaces, in which multiple base clusters can thereby be generated. Further, the reliability of each base clustering is evaluated and weighted by considering the reliability of the features in the corresponding subspace, after which a subspace-weighted bipartite graph can be constructed and effic
scrutiny
发表于 2025-3-26 19:34:09
https://doi.org/10.1007/978-94-011-8874-6an true affinity matrix for noisy instances. Then, in such a network, the sampling strategy based on influence maximization is used to select the most informative and representative instances at the same time from unlabeled data set. Finally, our empirical results demonstrate the effectiveness of ou