Modeling polypharmacy side effects with graph convolutional networks

2 February 2018

Papers citing "Modeling polypharmacy side effects with graph convolutional networks"

50 / 93 papers shown

Title
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 76 2 0 14 Feb 2025
A deep graph model for the signed interaction prediction in biological network Shuyi Jin Mengji Zhang Meijie Wang Lun Yu GNN 28 0 0 10 Jul 2024
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs Satvik Garg Anh Nguyen Somya Garg 29 2 0 28 Sep 2023
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers Hadi Abdine Michail Chatzianastasis Costas Bouyioukos Michalis Vazirgiannis 30 40 0 25 Jul 2023
Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction Mengying Jiang Guizhong Liu Biao Zhao Yuanchao Su Weiqiang Jin CML 33 7 0 04 Jul 2023
E(n) Equivariant Message Passing Simplicial Networks Floor Eijkelboom Rob D. Hesselink Erik J. Bekkers 22 14 0 11 May 2023
Graph Representation Learning for Interactive Biomolecule Systems Xinye Xiong Bingxin Zhou Yu Guang Wang AI4CE GNN 41 0 0 05 Apr 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 Mar 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 24 8 0 16 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 31 12 0 14 Feb 2023
Everything is Connected: Graph Neural Networks Petar Velickovic GNN AI4CE 22 179 0 19 Jan 2023
On the Limit of Explaining Black-box Temporal Graph Neural Networks Minh Nhat Vu My T. Thai 16 4 0 02 Dec 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs P. Bongini Elisa Messori Niccolò Pancino Monica Bianchini GNN OOD 21 2 0 30 Nov 2022
Graph Neural Networks for Breast Cancer Data Integration Teodora Reu 29 1 0 28 Nov 2022
Deep learning methods for drug response prediction in cancer: predominant and emerging trends A. Partin Thomas Brettin Yitan Zhu Oleksandr Narykov Austin R. Clyde Jamie Overbeek Department of Materials Science 11 54 0 18 Nov 2022
DistGNN-MB: Distributed Large-Scale Graph Neural Network Training on x86 via Minibatch Sampling Md. Vasimuddin Ramanarayan Mohanty Sanchit Misra Sasikanth Avancha GNN 18 1 0 11 Nov 2022
Extending Graph Transformers with Quantum Computed Aggregation Slimane Thabet Romain Fouilland L. Henriet GNN 33 3 0 19 Oct 2022
Deep Bidirectional Language-Knowledge Graph Pretraining Michihiro Yasunaga Antoine Bosselut Hongyu Ren Xikun Zhang Christopher D. Manning Percy Liang J. Leskovec 36 193 0 17 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 32 13 0 13 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Zou Chelsea Finn Jimeng Sun 18 4 0 11 Oct 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 46 16 0 19 Sep 2022
Evaluating Explainability for Graph Neural Networks Chirag Agarwal Owen Queen Himabindu Lakkaraju Marinka Zitnik 51 99 0 19 Aug 2022
DDI Prediction via Heterogeneous Graph Attention Networks Farhan Tanvir Khaled Mohammed Saifuddin Esra Akbas 19 1 0 12 Jul 2022
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network Khaled Mohammed Saifuddin Bri Bumgardnerr Farhan Tanvir Esra Akbas 14 27 0 25 Jun 2022
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective Wei Jin Xiaorui Liu Yao Ma Charu C. Aggarwal Jiliang Tang 30 42 0 15 Jun 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 27 45 0 02 Jun 2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information? P. Sevestre M. Neyret 10 0 0 19 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 26 29 0 06 Apr 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 37 51 0 22 Feb 2022
Learning to Discover Medicines T. Nguyen Thin Nguyen T. Tran 32 1 0 14 Feb 2022
RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro Paul Bertin Jarrid Rector-Brooks Deepak Sharma Thomas Gaudelet A. Anighoro ... Charlie Roberts M. Bronstein L. Lairson J. Taylor-King Yoshua Bengio 38 10 0 07 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 44 3 0 04 Feb 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 42 43 0 23 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery Xiaoqi Wang Yingjie Cheng Yaning Yang Yue Yu Fei Li Shaoliang Peng 23 41 0 12 Jan 2022
Toward the Analysis of Graph Neural Networks Thanh-Dat Nguyen Thanh Le-Cong Thanh-Hung Nguyen X. Le Quyet-Thang Huynh GNN 19 3 0 01 Jan 2022
Model Stealing Attacks Against Inductive Graph Neural Networks Yun Shen Xinlei He Yufei Han Yang Zhang 19 60 0 15 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 29 97 0 07 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 23 2 0 25 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 28 87 0 23 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges Denis Kleyko D. Rachkovskij Evgeny Osipov A. Rahim 24 126 0 12 Nov 2021
Recent Advances in Automated Question Answering In Biomedical Domain K. D. Baksi 25 0 0 10 Nov 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones Yushi Bai Rex Ying Hongyu Ren J. Leskovec 20 58 0 28 Oct 2021
Semi-Supervised Deep Learning for Multiplex Networks Anasua Mitra Priyesh Vijayan Ranbir Sanasam D. Goswami Srinivasan Parthasarathy Balaraman Ravindran GNN 35 18 0 05 Oct 2021
Relational graph convolutional networks for predicting blood-brain barrier penetration of drug molecules Yan Ding Xiaoqian Jiang Yejin Kim GNN 22 19 0 04 Jul 2021
DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science Mufei Li Jinjing Zhou Jiajing Hu Wenxuan Fan Yangkang Zhang Yaxin Gu George Karypis GNN AI4CE 30 159 0 27 Jun 2021
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study Rahul Nadkarni David Wadden Iz Beltagy Noah A. Smith Hannaneh Hajishirzi Tom Hope 35 27 0 17 Jun 2021
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods Chirag Agarwal Marinka Zitnik Himabindu Lakkaraju 27 51 0 16 Jun 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning Lu Wang Xiaofu Chang Shuang Li Yunfei Chu Hui Li Wei Zhang Xiaofeng He Le Song Jingren Zhou Hongxia Yang 24 51 0 17 May 2021