The team proposed a Python-based library named XGCN to help users quickly build and run large-scale GNNs in a single-machine environment. The library supports various scaling strategies, offers ...

Popular Python Libraries for Interactive Network Graph Visualization: NetworkX: NetworkX is a Python library for the creation, manipulation, and study of complex networks. While it does not provide ...

Many neural network models on graphs — or graph neural networks ... recently teamed up with New York University / NYU Shanghai to announce Deep Graph Library (DGL), a Python package that provides easy ...

The Microsoft Graph Core Python Client Library contains core classes used by Microsoft Graph Python Client Library to send native HTTP requests to Microsoft Graph API. To call Microsoft Graph, your ...

Pykg2vec is a robust and powerful Python library for Knowledge Graph Embedding to represent Entity Relationships in different ML domains by Rajkumar Lakshmanamoorthy Knowledge Graph is an ER-based ...

ffnet or feedforward neural network for Python is fast and easy to use feed-forward neural network training solution for Python. You can use it to train, test, save, load and use an artificial neural ...

Deep learning techniques are used for data with an underlying non-Euclidean structure, such as graphs or manifolds, and are known as deep geometric learning. These techniques have previously been used ...