High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

This is the code for the paper: Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation (ACL2023)

State-of-the-Art Text Embeddings

CFKGR provides datasets and baseline code for hypothetical reasoning with knowledge graphs.

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

Python library to work with ConceptNet offline without the need for PostgreSQL

Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"

A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

This project is a tensorflow implement of our work, CCM (Commonsense Conversational Model).

CSKG: The CommonSense Knowledge Graph

Insightful Tutorials and Papers about Knowledge Graphs

StellarGraph - Machine Learning on Graphs

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Information Retrieval project.

Homophones of a word in Python from the the world's only complete homophone list.

Code for building ConceptNet from raw data.

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

This repository is a collection of existing KGQA datasets in the form of the 🤗 huggingface datasets -> https://github.com/huggingface/datasets library, aiming to provide easy-to-use access to them.