Results 91 to 100 of about 116,308 (181)

Regular factors in regular graphs

Discrete Mathematics, 1993
The author shows that a \(k\)-regular \((k-1)\)-edge-connected graph with an even number of vertices has an \(m\)-factor not containing \(k-m\) arbitrarily prescribed edges whenever \(1\leq m\leq k-1\). This was known only for \(m=1\) or \(k-1\). Also the sharpness of this result and some corollaries are given.
openaire   +2 more sources

Integrating Dual Graph Constraints into Sparse Non-Negative Tucker Decomposition for Enhanced Co-Clustering

Mathematics
Collaborative clustering is an ensemble technique that enhances clustering performance by simultaneously and synergistically processing multiple data dimensions or tasks.
Jing Han, Linzhang Lu
doaj   +1 more source

D-bounded Distance-regular Graphs

European Journal of Combinatorics, 1997
Let \(\Gamma\) be a distance-regular graph of diameter \(D\geq 3\). The paper gives all basic facts from the literature and all necessary notions, e.g. the notion of weak-geodetically closed subgraph of \(\Gamma\), the notion of \(D\)-bounded graph, etc. Let \(P(\Gamma)\) denote the poset the elements of which are the weak-geodetically closed subgraphs
openaire   +3 more sources

Biology-Informed Matrix Factorization: An AI-Driven Framework for Enhanced Drug Repositioning

Biology
Advances in artificial intelligence (AI) and intelligent computing have significantly accelerated drug discovery by enabling accurate modeling of complex biomedical relationships. Among these efforts, drug repositioning—identifying novel therapeutic uses
Yangyang Wang, Yaping Wang, Ya Hu, Jihan Wang   +3 more
doaj   +1 more source

Sparse Graph Regularization Non-Negative Matrix Factorization Based on Huber Loss Model for Cancer Data Analysis. [PDF]

Front Genet, 2019
Wang CY, Liu JX, Yu N, Zheng CH.
europepmc   +1 more source

A Semi-Supervised Method for Multimodal Classification of Consumer Videos

International Journal of Information and Communication Technology Research, 2013
In large databases, lack of labeled training data leads to major difficulties in classification process. Semi-supervised algorithms are employed to suppress this problem. Video databases are the epitome for such a scenario.
Mahmood Karimian, Mostafa Tavassolipour, Shohreh Kasaei   +2 more
doaj  

Identifying retinopathy in optical coherence tomography images with less labeled data via contrastive graph regularization. [PDF]

Biomed Opt Express
Hu S, Tang H, Luo Y.
europepmc   +1 more source

A Dimensionality Reduction Approach for Motor Imagery Brain-Computer Interface Using Functional Clustering and Graph Signal Processing. [PDF]

J Med Signals Sens
Khalili MD, Abootalebi V, Saeedi-Sourck H.   +2 more
europepmc   +1 more source

Drug screening for α-synuclein aggregation inhibitors via multimodal graph neural network. [PDF]

Brief Bioinform
Gu T, Ran Z, Li W, Guo X, Li B, Li F, Jia C.   +6 more
europepmc   +1 more source

Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]

F1000Res
A J Al-Shatrah M, Sabah Hussein M.
europepmc   +1 more source