Model releases against the spread, over/under and money-line picks for each Week 4 NFL matchup

SportsLine's model evaluated the Week 4 NFL odds and revealed its NFL predictions, NFL score predictions and NFL betting ...
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 ...

Tre Tucker, Luther Burden, Daniel Jones headline Week 4’s Regression Files

A close look at players who are running unsustainably hot or cold as fantasy managers make lineup decisions for Week 4.

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 ...