GitHub

This the open-source code for KDD' 24 IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.

The folder IDEA includes implementations of IDEA (folder src) and scripts supporting the reported experiments. Run the following command to reproduce the reported experiments. ./1_bounds.sh # ...
GitHub

Graph Neural Prompting with Large Language Models

Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in ...
Dot Physics on MSN

Illustrating physics problems with Web VPython in Python

Illustrating physics problems with Web VPython in Python. Learn how to build clear 3D visualizations for motion and forces, and bring physics concepts to life with interactive animations and simple ...
IEEE

Enhancing Software Vulnerability Detection Using Code Property Graphs and Convolutional Neural Networks

Abstract: The increasing complexity of modern software sys- tems has led to a rise in vulnerabilities that malicious actors can exploit. Traditional methods of vulnerability detection, such as static ...