Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks

17 April 2019

Papers citing "Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks"

5 / 5 papers shown

Title
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,517 0 20 Dec 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity Joseph Gomes Bharath Ramsundar Evan N. Feinberg Vijay S. Pande 52 193 0 30 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 543 1,410 0 01 Dec 2016