🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities

Multiple Distance Embeddings for Link Prediction in Knowledge Graphs

Benchmarking for KnowledgeGraph link Prediction Task on each specific Relational Pattern and for both inductive and transductive settings.

MDE implementation with self adversarial negative sampling

The simplest possible python code for inference call of LLMs as a REST API server and a simple client for it

This code downloads and extracts and merges pieces of DBpedia into one file.

scraper for google scholar

conversional AI proof on concept that uses LLMs to generate knowledge graph based answers to questions in plain language.