Knowledge Graphs for the Life Sciences: Recent Developments, Challenges
and Opportunities

Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

29 September 2023

Ernesto Jiménez-Ruiz

Valentina A. M. Tamma

Papers citing "Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities"

9 / 9 papers shown

Title
Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Development Filipi Miranda Soares Antonio Mauro Saraiva Luís Ferreira Pires Luiz Olavo Bonino da Silva Santos Dilvan de Abreu Moreira Fernando Elias Corrêa Kelly Rosa Braghetto Debora Pignatari Drucker Alexandre Cláudio Botazzo Delbem 19 0 0 25 Apr 2025
Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models Bradley Paul Allen Paul T. Groth 21 3 0 25 Apr 2024
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules Emanuele Cavalleri Alberto Cabri Mauricio Soto Gomez Sara Bonfitto P. Perlasca ... Justin P Reese Peter N. Robinson E. Casiraghi Giorgio Valentini M. Mesiti 14 2 0 30 Nov 2023
Understanding Adverse Biological Effect Predictions Using Knowledge Graphs E. B. Myklebust Ernesto Jiménez-Ruiz Jiaoyan Chen Raoul Wolf K. Tollefsen 16 1 0 28 Oct 2022
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context Zonghai Yao Yi Cao Zhichao Yang Vijeta Deshpande Hong-ye Yu 117 20 0 26 Aug 2022
Contextual Semantic Embeddings for Ontology Subsumption Prediction Jiaoyan Chen Yuan He Yuxia Geng Ernesto Jiménez-Ruiz Hang Dong Ian Horrocks 33 49 0 20 Feb 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding Ningyu Zhang Zhen Bi Xiaozhuan Liang Shuyang Cheng Haosen Hong Shumin Deng J. Lian Qiang Zhang Huajun Chen 88 86 0 23 Jan 2022
Can Language Models be Biomedical Knowledge Bases? Mujeen Sung Jinhyuk Lee Sean S. Yi Minji Jeon Sungdong Kim Jaewoo Kang AI4MH 110 105 0 15 Sep 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 45 60 0 24 Apr 2021