Articles

Graph Neural Networks for Maximum Constraint Satisfaction

in Machine Learning and Artificial Intelligence

• Jan Tönshoff
• Martin Ritzert
• Hinrikus Wolf
• Martin Grohe

Learning Cortical Parcellations Using Graph Neural Networks

in Brain Imaging Methods

• Kristian M. Eschenburg
• Thomas J. Grabowski
• David R. Haynor

Global explanation supervision for Graph Neural Networks

in Data Mining and Management

• Negar Etemadyrad
• Yuyang Gao
• Sai Manoj Pudukotai Dinakarrao
• Liang Zhao

Graph Neural Networks for Charged Particle Tracking on FPGAs

in Big Data and AI in High Energy Physics

• Abdelrahman Elabd
• Vesal Razavimaleki
• Shi-Yu Huang
• Javier Duarte
• Markus Atkinson
• Gage DeZoort
• Peter Elmer
• Scott Hauck
• Jin-Xuan Hu
• Shih-Chieh Hsu

Generalizable Machine Learning in Neuroscience Using Graph Neural Networks

in Machine Learning and Artificial Intelligence

• Paul Y. Wang
• Sandalika Sapra
• Vivek Kurien George
• Gabriel A. Silva

Protein Docking Model Evaluation by Graph Neural Networks

in Biological Modeling and Simulation

• Xiao Wang
• Sean T. Flannery
• Daisuke Kihara

Graph Neural Networks and Their Current Applications in Bioinformatics

in Computational Genomics

• Xiao-Meng Zhang
• Li Liang
• Lin Liu
• Ming-Jing Tang

A Recommender for Research Collaborators Using Graph Neural Networks

in Machine Learning and Artificial Intelligence

• Jie Zhu
• Ashraf Yaseen

Addressing GPU memory limitations for Graph Neural Networks in High-Energy Physics applications

in HPC Applications

• Claire Songhyun Lee
• V. Hewes
• Giuseppe Cerati
• Kewei Wang
• Adam Aurisano
• Ankit Agrawal
• Alok Choudhary
• Wei-Keng Liao

Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks

in Computational Genomics

• Yuzhou Ma
• Han Zhang
• Chen Jin
• Chuanze Kang

Geometry-enhanced graph neural networks accelerate circRNA therapeutic target discovery

in Computational Genomics

• Zhen Li
• Mingming Qi
• Juyuan Huang
• Wei Zhang
• Xu Tan
• Yifan Chen

Application of graph frequency attention convolutional neural networks in depression treatment response

in Computational Psychiatry

• Zihe Lu
• Jialin Wang
• Fengqin Wang
• Zhoumin Wu

Combining Neuroimaging and Omics Datasets for Disease Classification Using Graph Neural Networks

in Brain Imaging Methods

• Yi Hao Chan
• Conghao Wang
• Wei Kwek Soh
• Jagath C. Rajapakse

SpatialSim: Recognizing Spatial Configurations of Objects With Graph Neural Networks

in Machine Learning and Artificial Intelligence

• Laetitia Teodorescu
• Katja Hofmann
• Pierre-Yves Oudeyer

Fast and precise dose estimation for very high energy electron radiotherapy with graph neural networks

in Medical Physics and Imaging

• Lorenzo Arsini
• Barbara Caccia
• Andrea Ciardiello
• Angelica De Gregorio
• Gaia Franciosini
• Stefano Giagu
• Susanna Guatelli
• Annalisa Muscato
• Francesca Nicolanti
• Jason Paino

Modeling functional connectivity changes during an auditory language task using line graph neural networks

• Stein Acker
• Jinqing Liang
• Ninet Sinaii
• Kristen Wingert
• Atsuko Kurosu
• Sunder Rajan
• Sara Inati
• William H. Theodore
• Nadia Biassou