Search Results for "message"

...It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks.

...The extension supports multiple asynchronous workers through integrations with popular async servers like eventlet or gevent, allowing scalable handling of concurrent connections. It also includes features such as session and user tracking across socket connections, JSON message support, and simple decorators to bind events to handler functions.

...The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks.

...This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions.

PyPubSub provides a publish - subscribe API that facilitates the development of event-based (also known as message-based) applications. PyPubSub supports sending and receiving messages between objects of an application, as well as a variety of advanced features that facilitate debugging and maintaining topics and messages in larger applications. I have moved the project to github at https://github.com/schollii/pypubsub.

The dispatcher provides loosely-coupled message passing between Python objects (signal senders and receivers). It began as one of the highest-rated recipes on the Python Cookbook website