Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions

18 June 2023

Papers citing "Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions"

6 / 6 papers shown

Title
Predicting Patient Outcomes with Graph Representation Learning Emma Rocheteau Catherine Tong Petar Velickovic Nicholas D. Lane Pietro Lió 35 38 0 11 Jan 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 164 1,877 0 02 Feb 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 283 4,143 0 23 Aug 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 208 1,205 0 12 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 231 1,801 0 25 Nov 2016