Popular GitHub Repositories for Heterogeneous Graphs

Making large AI models cheaper, faster and more accessible

Build Graph Nets in Tensorflow

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

StellarGraph - Machine Learning on Graphs

Simple, scalable AI model deployment on GPU clusters

? Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Paper Lists for Graph Neural Networks

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Tutorial code on how to build your own Deep Learning System in 2k Lines

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

? A Python library for learning and evaluating knowledge graph embeddings

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

Framework to build resilient language agents as graphs.