A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation ... how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional ...

Abstract: In this work, we introduce a Machine-Learning (ML) approach based on XGBoost and Graph Convolutional ... to obtain advanced user representations for determining their legitimacy.

The literature-based, medium-sized binary classification datasets (all above 1,000 molecules) were used for the model building by two common algorithms, XGBoost and the RPropMLP neural network. Five ...

Predictive models were then developed using five conventional machine learning algorithms ... The core idea of graph convolution is to use edge information for aggregating node information, thereby ...

XGBoost or extreme gradient boosting is one of the well-known gradient boosting techniques(ensemble) having enhanced performance and speed in tree-based (sequential ...