GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
syncedreview

Google & CMU Open-Source a Library for Graph Representation of Python Programs for Machine Learning Research

Graph representations of source code — abstract syntax tree (AST), control-flow graph (CFG), data-flow graphs, etc. — are now commonly employed by machine learning researchers for code research. In ...
IEEE

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years ...
marktechpost

CMU and Google Researchers Open-Source ‘python_graphs’, a Library for Representing Python Programs as Graphs for Machine Learning Research

Graphs are the ultimate tools of storytelling for Data scientists and engineers, but there exists another type of graph called code graphs. These graphs are the visual representation of the code and ...