Tech Xplore

HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
IEEE

AI-Driven Dynamic Network Slicing Optimization leveraging Temporal Graph Networks

Abstract: As 5th Generation (5G) and Beyond 5G (B5G) networks evolve, dynamic resource allocation and management is crucial for supporting the diversity of devices and the mixed data traffic types.

ChatGPT vs. Claude: 7 real-life benchmarks that crown the 2026 AI madness champion

The final round of AI Madness 2026 is here. We pitted ChatGPT against Claude in 7 brutal, real-world benchmarks — from senior ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

Inputs: describes all the raw inputs to run the code Code description: describes the python code and how to run it Code to figure mapping: provides mapping of figures in the paper to code used to ...
IEEE

Contra Harmonic Mean Labeling of Some Graphs and Python-Based Continuous-Time Neural Networks for Solving the Travelling Salesman Problem in Artificial Intelligence

Abstract: In this paper, we prove Contra Harmonic Mean Labeling for some star related graphs such as $\mathrm{K}_{1, \mathrm{n}}, S(\mathrm{K}_{1, \mathrm{n ...
GitHub

Configure Panorama Address Objects

A CLI tool that creates IP-netmask address objects on Palo Alto Networks Panorama using the pan-os-python SDK. Address objects are defined in YAML configuration files organized by device group, ...