Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery

17 May 2021

Papers citing "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery"

8 / 8 papers shown

Title
A review of feature selection strategies utilizing graph data structures and knowledge graphs Sisi Shao P. Ribeiro Christina Ramirez Jason H. Moore 21 4 0 21 Jun 2024
Fast Knowledge Graph Completion using Graphics Processing Units Chun-Hee Lee Dong-oh Kang Hwa Jeon Song 9 1 0 22 Jul 2023
How to Turn Your Knowledge Graph Embeddings into Generative Models Lorenzo Loconte Nicola Di Mauro Robert Peharz Antonio Vergari 20 16 0 25 May 2023
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study Rahul Nadkarni David Wadden Iz Beltagy Noah A. Smith Hannaneh Hajishirzi Tom Hope 35 27 0 17 Jun 2021
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets Cheng Ye Rowan Swiers Stephen Bonner Ian P Barrett 27 12 0 20 May 2021
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali M. Berrendorf Charles Tapley Hoyt Laurent Vermue Sahand Sharifzadeh Volker Tresp Jens Lehmann 33 142 0 28 Jul 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020