Results 101 to 110 of about 282,172 (197)

Imbalanced graph learning via mixed entropy minimization

Scientific Reports
Imbalanced datasets, where the minority class is underrepresented, pose significant challenges for node classification in graph learning. Traditional methods often address this issue through synthetic oversampling techniques for the minority class, which
Liwen Xu, Huaguang Zhu, Jiali Chen
doaj   +1 more source

Hybrid bases in graphs [PDF]

In this paper we introduce a new concept, that of hybrid base, which is a maximal circuitless and cutsetless subset of a graph. Although this concept of simultaneous circuitlessness and cutsetlessness has been used in proofs of some theorems in so called
Gibbons, Alan, Novak, Ladislav
core  

On bipartite (1,1,k)-mixed graphs

The Art of Discrete and Applied Mathematics
Mixed graphs can be seen as digraphs with arcs and edges (or digons, that is, two opposite arcs). In this paper, we consider the case where such graphs are bipartite and in which the undirected and directed degrees are one. The best graphs, in terms of the number of vertices, are presented for small diameters.
Dalfó Simó, Cristina, Erskine, Grahame, Exoo, Geoffrey, Fiol Mora, Miquel Àngel, Tuite, James   +4 more
openaire   +5 more sources

Graph Models of Automobile Gears - Kinematics

, 2014
In the present paper, kinematical analysis of an automotive gear is described. Versatile graph based methods have been utilized for this purpose. An application of mixed, contour and bond graphs gives the same results. It allows the detection of possible
Drewniak, J., J. Kopeć, Kopeć, J., Zawiślak, S., J. Drewniak, S. Zawiślak   +5 more
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Mixed-Curvature Multi-Modal Knowledge Graph Completion

Multi-modal Knowledge Graph Completion (KGC), which aims to enrich knowledge graph embeddings by incorporating images and text as supplementary information alongside triplets, is an significant task in learning KGs.
Gao, Yuxiao, Zhuang, Fuzhen, Min, Xiaoshuang, Zhang, Fuwei, Zhang, Zhao   +4 more
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Stability and synchronization of discrete-time Markovian jumping neural networks with mixed mode-dependent time delays

, 2009
Copyright [2009] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liu, Y, Liu, X, Wang, Z, Liang, J, Liu, Xiaohui., J Liang (7713770), Wang, Zidong., Yurong Liu (9814022), Z Wang (81545), X Liu (7756691), Liang, Jinling., Liu, Yurong.   +11 more
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Sentiment Mining through Mixed Graph of Terms

, 2014
The spread of social networks allows sharing opinions on different aspects of life and daily millions of messages appear on the web. This textual information can be divided in facts and opinions.
Francesco Colace, Luca Greco, Massimo De Santo, COLACE, Francesco, GRECO, LUCA, DE SANTO, Massimo   +5 more
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DTS-MixNet: Dynamic Spatiotemporal Graph Mixed Network for Anomaly Detection in Multivariate Time Series

Big Data and Cognitive Computing
Anomaly detection in multivariate time series (MTS) remains challenging due to the presence of complex and dynamic spatiotemporal dependencies. To address this, we propose the Dynamic Spatiotemporal Graph Mixed Network (DTS-MixNet), which takes a sliding
Chengxun Tan, Jiayi Hu, Jian Li, Minmin Miao, Wenjun Hu, Shitong Wang   +5 more
doaj   +1 more source

The Unique Mixed Almost Moore Graph with Parameters k = 2, r = 2 and z = 1

, 2017
A natural upper bound for the maximum number of vertices in a mixed graph with maximum undirected degree r, maximum directed out-degree z and diameter k is given by the mixed Moore bound.
JOSEP M. MIRET, Miret, Josep J.M., DOMINIQUE BUSET, Buset, Dominique, López, Nacho, NACHO LÓPEZ   +5 more
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Goodness-of-fit tests in mixed models. [PDF]

Mixed models, with both random and fixed effects, are most often estimated on the assumption that the random effects are normally distributed. In this paper we propose several formal tests of the hypothesis that the random effects and/or errors are ...
Claeskens, Gerda, Hart, Jeffrey D.
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