Graph Processing
Showing 7 of 7 projects
A JavaScript framework for building visual programming interfaces and node-based workflows.
DeepMind's library for building graph networks in TensorFlow and Sonnet, enabling graph-structured data processing with neural networks.
A DataFrame-based graph processing library for Apache Spark, enabling scalable graph analytics and algorithms.
A high-performance Rust library for graph algorithms, built on a parallel CSR data structure for large-scale graphs.
JavaScript libraries for graph processing in Node.js and browsers, inspired by Apache TinkerPop.
A scalable high-performance platform for R that enables large-scale machine learning, statistical analysis, and graph processing across clusters.
A Clojure library for working with graphs using the Tinkerpop Blueprints interface.
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