Popular GitHub Repositories for Bipartite Graphs

Build Graph Nets in Tensorflow

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)

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)

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.

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

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.