Showing 1-7 of 7 projects
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
Implementation and experiments of various graph embedding algorithms for developers building AI-powered applications.
A distributed graph deep learning framework for building graph-based AI models and applications.
This Scala library provides a high-performance implementation of the node2vec algorithm for embedding graphs.
A curated list of community detection research papers with implementations for data science and network analysis.
A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.
A PyTorch implementation of the Capsule Graph Neural Network (CapsGNN) for graph classification tasks.
Get weekly updates on trending AI coding tools and projects.