GitHub

Neo4j Graph Data Science Client

graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...
IEEE

Prediction of Types in Python with Pre-trained Graph Neural Networks

Abstract: The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of ...
GitHub

Pandas TA Classic - Technical Analysis Library

Pandas TA Classic is an easy-to-use library that leverages the Pandas package with 150 indicators and utility functions and 62 TA Lib candlestick patterns (212 total). Many commonly used indicators ...
IEEE

Line-Level Defect Prediction by Capturing Code Contexts With Graph Convolutional Networks

Abstract: Software defect prediction refers to the systematic analysis and review of software using various approaches and tools to identify potential defects or errors. Software defect prediction ...