Results 71 to 80 of about 116,308 (181)

Generating r-regular graphs

open access: yesDiscrete Applied Mathematics, 2003
The authors study the problem of \(r\)-regular graph generation. The considered graphs can posses multiple edges between each pair \((x,y)\) of vertices, so they can be seen as labeled graphs with an integer accompanying each edge. Therefore, the subjective loopless graphs can be seen as flow networks. Two general approaches to generation are discussed.
Ding, Guoli, Chen, Peter
openaire   +2 more sources

Semi-supervised learning by constructing query-document heterogeneous information network

open access: yesTongxin xuebao, 2014
Various graph-based algorithms for semi-supervised learning have been proposed in recent literatures. How-ever, although classification on homogeneous networks has been studied for decades, classification on heterogeneous networks has not been explored ...
Yu-feng LIU, Ren-fa LI
doaj   +2 more sources

Manifold Regularization Graph Structure Auto-Encoder to Detect Loop Closure for Visual SLAM

open access: yesIEEE Access, 2019
Loop closure detection plays a vital role in the visual simultaneous localization and mapping (SLAM) systems. In order to overcome the shortcomings of the artificial design algorithm to extract insufficient features, this paper proposes a graph ...
Zhonghua Wang   +3 more
doaj   +1 more source

Approximately strongly regular graphs

open access: yesDiscrete Mathematics, 2023
We give variants of the Krein bound and the absolute bound for graphs with a spectrum similar to that of a strongly regular graph. In particular, we investigate what we call approximately strongly regular graphs. We apply our results to extremal problems. Among other things, we show the following: (1) Caps in $\mathrm{PG}(n, q)$ for which the number of
openaire   +3 more sources

On $k$-Walk-Regular Graphs [PDF]

open access: yesThe Electronic Journal of Combinatorics, 2009
Considering a connected graph $G$ with diameter $D$, we say that it is $k$-walk-regular, for a given integer $k$ $(0\leq k \leq D)$, if the number of walks of length $\ell$ between any pair of vertices only depends on the distance between them, provided that this distance does not exceed $k$. Thus, for $k=0$, this definition coincides with that of walk-
Dalfó Simó, Cristina   +2 more
openaire   +3 more sources

Application of Non-Sparse Manifold Regularized Multiple Kernel Classifier

open access: yesMathematics
Non-sparse multiple kernel learning is efficient but not directly able to be applied in a semi-supervised scenario; therefore, we extend it to semi-supervised learning by using a manifold regularization.
Tao Yang
doaj   +1 more source

Domain-Invariant Label Propagation With Adaptive Graph Regularization

open access: yesIEEE Access
As an effective machine learning paradigm, domain adaptation (DA) learning aims to enhance the learning performance of the target domain by utilizing other relevant but distinct domain(s) (referred to as the source domain(s)).
Yanning Zhang, Jianwen Tao, Liangda Yan
doaj   +1 more source

Distance-Regular Graphs and Halved Graphs

open access: yesEuropean Journal of Combinatorics, 1986
Let G be a bipartite distance-regular graph with bipartition \(V(G)=X\cup Y\). Let \(V(G')=X\) and, for x and y in X, let x be adjacent to y in G' if and only if x is of distance two from y in G. Then G' is called a halved graph of G, and is distance-regular. This paper discusses whether G' is one of the known, large-diameter, distance-regular graphs.
openaire   +2 more sources

TorusE: Knowledge Graph Embedding on a Lie Group

open access: yes, 2017
Knowledge graphs are useful for many artificial intelligence (AI) tasks. However, knowledge graphs often have missing facts. To populate the graphs, knowledge graph embedding models have been developed.
Ebisu, Takuma, Ichise, Ryutaro
core   +1 more source

Snake: a Stochastic Proximal Gradient Algorithm for Regularized Problems over Large Graphs

open access: yes, 2017
A regularized optimization problem over a large unstructured graph is studied, where the regularization term is tied to the graph geometry. Typical regularization examples include the total variation and the Laplacian regularizations over the graph. When
Bianchi, Pascal   +2 more
core  

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