How-To Geek on MSN

How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...
Amazon S3 on MSN

Python in Excel Is Here—See How It Works Live

ThioJoe demonstrates how Python now works inside Excel with a live example. ‘Not My Signature’: Trump Fights Epstein Allegation New virus strain spikes in 9 US states with symptoms from brain fog to ...

How to Use Market Research to Make Decisions

Utilizing market research to inform decision-making begins with clearly identifying the objective: What specific goal am I ...
IEEE

Learning Wireless Power Allocation Through Graph Convolutional Regression Networks Over Riemannian Manifolds

Abstract: Optimum power allocation is a key enabler for maximizing data rate in wireless networks. Recently, various deep neural network models have been introduced for predicting power allocation in ...
GitHub

Semi-Supervised Graph Imbalanced Regression

This is the code for SGIR, a semi-supervised framework for Graph Imbalanced Regression. Data imbalance is easily found in annotated data when the observations of certain continuous label values are ...
IEEE

Predicting miRNA-Disease Association Based on Improved Graph Regression

Abstract: Recently, as a growing number of associations between microRNAs (miRNAs) and diseases are discovered, researchers gradually realize that miRNAs are closely related to several complicated ...
GitHub

LRGB: Long Range Graph Benchmark

We present the Long Range Graph Benchmark (LRGB) with 5 graph learning datasets that arguably require long-range reasoning to achieve strong performance in a given task. For a reassessment of the ...