Dot Physics on MSN

Mastering animated graphs in GlowScript: VPython made easy

Learn how to create dynamic, animated graphs in GlowScript using VPython with ease! 📊 This step-by-step tutorial guides you through visualizing data, animating simulations, and mastering interactive ...
IEEE

Towards Effective Edge Unlearning: Enhancing Graph Unlearning via Contrastive Learning with Adversarial Example

Abstract: Graph unlearning involves removing certain elements, such as edges and nodes, from a trained graph neural network. This research has significant practical implications, such as enabling ...
Morning Call PA

Election 2025: 6 candidates running for Parkland School Board

Six candidates are running for four, four-year terms on the Parkland School Board. Two candidates — Alyssa Beckwith and incumbent David Hein — appear as both Democratic and Republican candidates, ...
Hosted on MSN

Lists and Animated Graphs in webVpython (Glowscript)

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
marktechpost

JSON Prompting for LLMs: A Practical Guide with Python Coding Examples

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
Hacker

የ Graphs ወደ Python ኮድ መተግበሪያዎች የ AI ግምገማዎችን ለማሻሻል

COCOGEN በ Python ኮድ ውስጥ ግራፊክ ተግባሮች ይፈጥራል, እንደ CODEX እንደ CodeLLMs በባህር ቅናሽ በመጠቀም ትክክክለኛ ግራፊክ መዋቅርዎችን ለመፍጠር ይቻላል. የ COCOGEN ...
www.cs.utexas.edu

Graclus software

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
IEEE

Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks

Abstract: In this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data. Unlike traditional ...