Popular GitHub Repositories for Molecular 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"

Graphormer is a general-purpose deep learning backbone for molecular modeling.

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

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

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.

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.

A deep learning package for many-body potential energy representation and molecular dynamics

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

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering