Spark GraphX - Pregel, PageRank and Dijkstra on a social graph

An implementation of Pregel framework and graph algorithms on top of it with Ibis project DataFrames.

A Graph library written in Rust for implementing your own algorithms in a Pregel fashion

🤖🕸️ Production-grade multi-agent orchestration framework powered by Pregel BSP. Build sophisticated AI workflows with parallel execution, state management, and observability.

A Pregel API in Go for graph processing

Vertex-Computing QUEGEL Go interpretation. Early Steps...

Go implementation of Google's Pregel

Pregel-based schema validation algorithm written in Rust for generating Wikidata subsets

Semantic Data Management - Distributed Graph Processing 📈

A distributed graph processing framework inspired by the Pregel paper

Implementation of Google's Pregel Paper, including Single Source Shortest and PageRank

Documentation of the Final Degree Project on the analysis and implementation of an algorithm to validate Knowledge Graphs using Big data techniques

Distributed Graphs Processing with Apache Spark

A Java-based simulation of Google’s Pregel model using Bulk Synchronous Parallelism for distributed graph processing.

This is the laboratory 2 for Semantic Data Management Course of BDMA - Semester 2 at UPC.

Graph Processing using MPI