GitHub

Combining Graph Neural Networks and Program Slicing

Implementation of the GLICE deep learning model. GLICE detects software vulnerabilities by combining graph neural networks and program slicing. The implementation is inspired by FUNDED and the graph ...
Investopedia

Federal Direct Loan Program: Types, Benefits, and Drawbacks Explained

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Marguerita is a Certified Financial Planner (CFP), Chartered Retirement Planning Counselor ...
Investopedia

Building an Effective Compliance Program: Key Steps and Benefits

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
GitHub

Generic Evolvable Graphs for Efficient Learning of Artificial Tangled Intelligence

GEGELATI [dʒedʒelati] is a fresh open-source reinforcement learning framework for training artificial intelligence based on Tangled Program Graphs (TPGs). The purpose of this framework, developed as a ...
IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...