Popular GitHub Repositories for Traffic 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

A Burp Suite extension that integrates OpenAI's GPT to perform an additional passive scan for discovering highly bespoke vulnerabilities and enables running traffic-based analysis of any type.

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)

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.

Framework to build resilient language agents as graphs.

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

A selection of state-of-the-art research materials on trajectory prediction

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.