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Advanced Search Results For "BIPARTITE graphs"

1 - 10 of 9,791 results for
 "BIPARTITE graphs"
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Adding edge dynamics to bipartite random-access networks.

Publication Type: Academic Journal

Source(s): Stochastic Models. 2022, Vol. 38 Issue 4, p545-581. 37p.

Authors:

Abstract: We consider random-access networks with nodes representing transmitter-receiver pairs whose signals interfere with each other depending on their vicinity. Data packets arrive at the nodes over time and form queues. The nodes can be either active or ina...

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Fast robust fuzzy clustering based on bipartite graph for hyper‐spectral image classification.

Publication Type: Academic Journal

Source(s): IET Image Processing (Wiley-Blackwell). Nov2022, Vol. 16 Issue 13, p3634-3647. 14p.

Abstract: Hyper‐spectral image (HSI) clustering has become a hot spot in remote sensing image research. However, due to the large amount and high dimension of HSI data, some traditional image clustering methods are no longer suitable, and even lead to poor clust...

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Predicting ncRNA–protein interactions based on dual graph convolutional network and pairwise learning.

Publication Type: Academic Journal

Source(s): Briefings in Bioinformatics. Nov2022, Vol. 23 Issue 6, p1-11. 11p.

Abstract: Noncoding RNAs (ncRNAs) have recently attracted considerable attention due to their key roles in biology. The ncRNA–proteins interaction (NPI) is often explored to reveal some biological activities that ncRNA may affect, such as biological traits, dise...

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Item enhanced graph collaborative network for collaborative filtering recommendation.

Publication Type: Academic Journal

Source(s): Computing. Dec2022, Vol. 104 Issue 12, p2541-2556. 16p.

Abstract: Learning vector embeddings of users and items is the core of modern recommender systems. Recently the collaborative filtering recommender systems based on graph convolutional networks, which integrates the bipartite graph of user-item interaction into ...

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Peer effects in professional analysts' choice of their portfolio of companies.

Publication Type: Academic Journal

Source(s): Quantitative Finance. Nov2022, Vol. 22 Issue 11, p2125-2137. 13p.

Abstract: Analysts' earnings forecasts are well known to be affected by herding behavior. This article provides evidence that herding might also play a role in analysts' choice of coverage portfolio. Using the I/B/E/S database we show that there are strong peer ...

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Mixing Activations and Labels in Distributed Training for Split Learning.

Publication Type: Academic Journal

Source(s): IEEE Transactions on Parallel & Distributed Systems. No2022, Vol. 33 Issue 11, p3165-3177. 13p.

Abstract: Split Learning (SL) is a distributed machine learning setting that allows several nodes to train neural networks based on model parallelism. Since SL avoids sharing raw data among training nodes, it can protect data privacy by nature. However, recent s...

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Tail probabilities of random linear functions of regularly varying random vectors.

Publication Type: Academic Journal

Source(s): Extremes. Dec2022, Vol. 25 Issue 4, p721-758. 38p.

Abstract: We provide a new extension of Breiman's Theorem on computing tail probabilities of a product of random variables to a multivariate setting. In particular, we give a characterization of regular variation on cones in [ 0 , ∞) d under random linear transf...

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MATCHING UP: Syncing the right statistical tool to the problem space for a better solution using a DoE example.

Publication Type: Academic Journal

Source(s): Quality Progress. Nov2022, Vol. 55, p46-51. 6p.

Abstract: The article offers information on the challenges in applying statistical design of experiments (DoE) to real-world problems. It mentions that traditional DoE courses and textbooks discusses about each type of design separately and generally present it ...

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Distributionally robust scheduling algorithms for total flow time minimization on parallel machines using norm regularizations.

Publication Type: Academic Journal

Source(s): European Journal of Operational Research. Oct2022, Vol. 302 Issue 2, p438-455. 18p.

Abstract: • Distributionally robust solution to total flow time minimization on parallel machines. • Reformulation of the problem in terms of norm regularization. • Complexity characterization with respect to the type of the used norm. • The results show that it...

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On 2-matching covered graphs and 2-matching deleted graphs.

Publication Type: Academic Journal

Source(s): RAIRO -- Operations Research. 2022, Vol. 56 Issue 5, p3667-3674. 8p.

Authors:

Abstract: For a family of connected graphs A A $ \mathcal{A}$ , a spanning subgraph H of a graph G is called an A A $ \mathcal{A}$ -factor of G if each component of H is isomorphic to some graph in A A $ \mathcal{A}$. A graph G has a perfect 2-matching if G has ...

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