The team is committed to develop opensource tools for a variety of KG tasks including construction, reasoning, question answering, visual analytics etc.
DeepKE is a knowledge extraction toolkit supporting low-resource and document-level scenarios, which is designed for various tasks, including named entity recognition, relation extraction, and attribute extraction.
NeuralKG is a collection rk of neural network models commonly used for learning KG embeddings. It also provides a easy-to-use KG framework.
OpenUE is a lightweight knowledge graph extraction tool that serves as a unified paradigm for lots of extraction tasks such as entity, relation, and event extraction.
scDeepSort is a graph neural network tool for single-cell biological data processing.