In this paper, we revisit the node embedding propagation algorithm in GCNs, emphasizing the importance ... To address these challenges, we propose the Linear Graph Network (LGNet), which theoretically ...

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality ...

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boosting algorithms, RF, and k-means clustering. Conversely, traditional statistical methods mainly involve linear regression, logistic regression, chi-square testing, and CART. Overall, SVM is ...

Negative weights are not necessarily problematic for graph algorithms, as long as they do not create negative cycles. In fact, some algorithms, such as Dijkstra's algorithm, can handle negative ...

Ningxia Province Cooperative Innovation, Center of Scientific Computing and Intelligent Information Processing, North Minzu University, Yinchuan 750021, P. R. China Ningxia Province Key Laboratory of ...

The MELPe algorithm was developed using several enhancements to the original MELP 2400 bps specification. MELPe implements a variable low bit rate vocoder that supports multiple rates of 600 bps, 1200 ...