A Python toolbox to compute topological metrics and statistics for Knowledge Graphs

Awesome papers about unifying LLMs and KGs

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

LaTeX package and annotated examples for annotating equations using TikZ.

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

LLM inference in C/C++

HGX is a multi-purpose, open-source Python library for higher-order network analysis

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks

[Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.

An awesome repository of community-curated applications of ChatGPT and other LLMs im computational biology

A collection of resources on the topic of Complex Logical Query Answering

🐍 Example Python project using best practices 🥇

Examples of how to create colorful, annotated equations in Latex using Tikz.

Official implementation of Graph Neural Network Query Executor (ICML 2022)

Meandering In Networks of Entities to Reach Verisimilar Answers

Build PharMeBINet from different sources.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Recipe for a General, Powerful, Scalable Graph Transformer

PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

🧬 gget enables efficient querying of genomic reference databases

Code to accompany the "Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs" (Briefings in Bioinformatics, 2022)

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Explanation method for Graph Neural Networks (GNNs)

XAI framework for interpreting Link Predictions on Knowledge Graphs

A curated list for awesome self-supervised learning for graphs.

PyGCL: A PyTorch Library for Graph Contrastive Learning

A powerful and flexible machine learning platform for drug discovery

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.