Popular GitHub Repositories for Heterogeneous Graphs

Making large AI models cheaper, faster and more accessible

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

Build Graph Nets in Tensorflow

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

Simple, scalable AI model deployment on GPU clusters

StellarGraph - Machine Learning on Graphs

? 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.

Framework to build resilient language agents as graphs.

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

? A Python library for learning and evaluating knowledge graph embeddings

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