Few-shot link prediction via graph neural networks for Covid-19
drug-repurposing

Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing

20 July 2020

George Karypis

Papers citing "Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing"

7 / 7 papers shown

Title
SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Models Ali Sarabadani Kheirolah Rahsepar Fard Hamid Dalvand 49 0 0 09 Mar 2025
Analysis of Drug repurposing Knowledge graphs for Covid-19 Ajay K. Gogineni 31 2 0 07 Dec 2022
KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description Chunyu Ma Zhihan Zhou Han Liu D. Koslicki 18 16 0 30 Nov 2022
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu Zuobai Zhang Louis-Pascal Xhonneux Jian Tang GNN 33 300 0 13 Jun 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective Stephen Bonner Ian P Barrett Cheng Ye Rowan Swiers O. Engkvist A. Bender Charles Tapley Hoyt William L. Hamilton 32 94 0 19 Feb 2021
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 27 36 0 09 Dec 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 0 03 Sep 2019