GitHub

ariellubonja/parallel-graph-encoder-embedding-ligra

Implementation of Graph Encoder Embedding in the Ligra framework. This speeds up the original implementation by 10-100x, making Graph Encoder Embedding a very useful tool for learning on Graphs. It ...
GitHub

Conditional + Parallel Graph Execution with LangGraph, LangChain and Ollama.

After doing sequential graph execution in LangGraph, I wanted to explore the conditional and parallel execution graph flow, so I came up with a contrived example, where I have expanded a simple RAG ...
IEEE

Simplifying Graph-Parallel Computation in Apache Spark with GraphX

Abstract: Streamlining Apache graph-parallel computing the goal of integrating Spark with GraphX is to make processing massive amounts of graph data easier and faster. The goal is to streamline the ...
IEEE

Parallel Self-Learned and Predefined Joint Spatial–Temporal Graph Convolutional Networks for Traffic Flow Prediction

Abstract: Accurate prediction of spatial–temporal traffic flow drives innovation across various pertinent application domains, including traffic management and route planning. Graph Convolutional ...