GitHub

Graph Neural Networks for Tabular Data Learning (GNN4TDL)

The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to their conventional counterparts. However, the latent ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
IEEE

TCAM-GNN: A TCAM-Based Data Processing Strategy for GNN Over Sparse Graphs

Abstract: The graph neural network (GNN) has recently become an emerging research topic for processing non-euclidean data structures since the data used in various popular application domains are ...
Hacker

Your First Interactive Plot in Python: A Hands-On Plotly Guide

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...
GitHub

SQL Utility Toolkit for better understanding, use, and governance of your queries in a native environment.

SQL Glider provides powerful column-level and table-level lineage analysis for SQL queries using SQLGlot. It operates on standalone SQL files without requiring a full project setup, making it perfect ...