Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts

29 December 2019

Papers citing "Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts"

4 / 4 papers shown

Title
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach A. Braghetto E. Orlandini M. Baiesi 17 4 0 27 Mar 2023
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 19 61 0 24 Aug 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 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 258 1,398 0 01 Dec 2016