If you find this code useful in your research, please consider citing our paper (presented at IWKG-KDD 2020): @inproceedings{arm2020torchkge, title={TorchKGE: Knowledge Graph Embedding in Python and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

This repo contains a PyTorch implementation for PertKGE, which is model proposed in our paper "Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics" ...

Gene regulatory networks (GRNs) encode gene regulation in living organisms, and have become a critical tool to understand complex biological processes. However, due to the dynamic and complex nature ...

Particle accelerators play a crucial role in scientific research, enabling the study of fundamental physics and materials science, as well as having important medical applications. This study proposes ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Abstract: The automatic extraction of the chemical-disease relation (CDR) from the text becomes critical because it takes a lot of time and effort to extract valuable CDR manually. Studies have shown ...