Modeling polypharmacy side effects with graph convolutional networks

2 February 2018

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

8 / 108 papers shown

Title
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Yuchen Zhang Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 37 5,416 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 56 1,321 0 11 Dec 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 16 76 0 17 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 30 254 0 06 Sep 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 8 35 0 26 Aug 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 21 316 0 16 Aug 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 126 3,491 0 06 Jun 2018
Embedding Logical Queries on Knowledge Graphs William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky J. Leskovec NAI 33 287 0 05 Jun 2018