[ACL 2024] OceanGPT: A Large Language Model for Ocean Science Tasks

Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)

Scientific Large Language Models: A Survey on Biological & Chemical Domains

An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

[Paper][NeurIPS2022] Neural-Symbolic Entangled Framework for Complex Query Answering

Code and Data for the paper: Graph Sampling-based Meta-Learning for Molecular Property Prediction [IJCAI2023]

Open-Protein is an open source pre-training platform that supports multiple protein pre-training models and downstream tasks.

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

An Open-sourced Knowledgable Large Language Model Framework.

Code and Data for the paper: Multi-level Protein Structure Pre-training with Prompt Learning [ICLR 2023]

Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".

开放中文知识图谱的schema

[SIGIR 2022] An Open Source Library for Diverse Representation Learning of Knowledge Graphs

Code and datasets for the ICLR2022 paper "OntoProtein: Protein Pretraining With Gene Ontology Embedding"

[Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

[ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding

[ICLR 2022] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"

Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs (WSDM'2019)

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning. (WWW'19)

[Paper][IJCKG2021] FedE: Embedding Knowledge Graphs in Federated Setting

[ACL 2021] OntoED: Low-resource Event Detection with Ontology Embedding

[SIGIR 2022] Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

[Tool] For Knowledge Graph Representation Learning

Knowledge Oriented Programming Language

[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text

中文概念图谱OpenConcepts

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs, VLDB 2020