Predicting multicellular function through multi-layer tissue networks

14 July 2017

Papers citing "Predicting multicellular function through multi-layer tissue networks"

50 / 208 papers shown

Title
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering Xue Li Yuanzhi Cheng GNN 171 9 0 30 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 98 1 0 18 May 2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph NetworksScientific Reports (Sci Rep), 2020 Kexin Huang C. Xiao Lucas Glass Marinka Zitnik Jimeng Sun GNN 152 135 0 30 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 364 438 0 23 Apr 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks M. Balcilar G. Renton Pierre Héroux Benoit Gaüzère Sébastien Adam P. Honeine 128 65 0 26 Mar 2020
Distilling Knowledge from Graph Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang 473 259 0 23 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive ConnectionNeural Information Processing Systems (NeurIPS), 2020 Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Leilei Gan Jiwei Li 219 21 0 22 Mar 2020
Probabilistic Dual Network Architecture Search on Graphs Yiren Zhao Duo Wang Xitong Gao Robert D. Mullins Pietro Lio M. Jamnik GNN AI4CE 148 28 0 21 Mar 2020
An Uncoupled Training Architecture for Large Graph Learning Dalong Yang Chuan Chen Youhao Zheng Zibin Zheng Shih-wei Liao GNN 100 1 0 21 Mar 2020
Tensor Graph Convolutional Networks for Multi-relational and Robust LearningIEEE Transactions on Signal Processing (TSP), 2020 V. Ioannidis A. Marques G. Giannakis 139 27 0 15 Mar 2020
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 127 11 0 07 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 256 70 0 03 Mar 2020
Dual Graph Representation Learning Huiling Zhu Xin Luo Hankui Zhuo GNN 70 0 0 25 Feb 2020
Graph Representation Learning via Graphical Mutual Information MaximizationThe Web Conference (WWW), 2020 Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Qifeng Bai Junzhou Huang SSL 333 646 0 04 Feb 2020
General Partial Label Learning via Dual Bipartite Graph AutoencoderAAAI Conference on Artificial Intelligence (AAAI), 2020 Brian Chen Bo Wu Alireza Zareian Hanwang Zhang Shih-Fu Chang 254 12 0 05 Jan 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 147 70 0 20 Dec 2019
SGAS: Sequential Greedy Architecture SearchComputer Vision and Pattern Recognition (CVPR), 2019 Ge Li Guocheng Qian Itzel C. Delgadillo Matthias Muller Ali K. Thabet Guohao Li 3DPC 219 204 0 30 Nov 2019
Graph Pruning for Model Compression Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou GNN 128 9 0 22 Nov 2019
Scalable Deep Generative Relational Models with High-Order Node DependenceNeural Information Processing Systems (NeurIPS), 2019 Xuhui Fan Bin Li Scott A. Sisson Caoyuan Li Ling-Hao Chen BDL 127 10 0 04 Nov 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 169 90 0 25 Oct 2019
Edge Dithering for Robust Adaptive Graph Convolutional Networks V. Ioannidis G. Giannakis AAML 84 8 0 21 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 206 193 0 15 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 197 30 0 09 Oct 2019
Dynamic Embedding on Textual Networks via a Gaussian ProcessAAAI Conference on Artificial Intelligence (AAAI), 2019 Pengyu Cheng Yitong Li D. Ponsa Liqun Cheng David Carlson Gary R. Bradski 86 10 0 05 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph RepresentationsInternational Conference on Learning Representations (ICLR), 2019 Ninad Kulkarni Bruno Ribeiro 221 27 0 01 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological ViewAAAI Conference on Artificial Intelligence (AAAI), 2019 Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 169 1,251 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural NetworksFrontiers in Big Data (FBD), 2019 Kaixiong Zhou Qingquan Song Xiao Huang Helen Zhou GNN 228 203 0 07 Sep 2019
Scalable Explanation of Inferences on Large GraphsIndustrial Conference on Data Mining (IDM), 2019 Chao Chen Yuhang Liu Xi Zhang Sihong Xie 259 6 0 13 Aug 2019
GNN-FiLM: Graph Neural Networks with Feature-wise Linear ModulationInternational Conference on Machine Learning (ICML), 2019 Marc Brockschmidt 327 166 0 28 Jun 2019
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach D. Tam Wing Cheong Lau Bin Hu Qiufang Ying D. Chiu Hong Liu GNN 138 24 0 13 Jun 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 172 347 0 12 Jun 2019
Position-aware Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Jiaxuan You Rex Ying J. Leskovec 253 546 0 11 Jun 2019
Redundancy-Free Computation Graphs for Graph Neural Networks Zhihao Jia Sina Lin Rex Ying Jiaxuan You J. Leskovec Alexander Aiken GNN 72 11 0 09 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Luke Huan 122 47 0 31 May 2019
Graph Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2019 Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 185 175 0 30 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 343 487 0 23 May 2019
Graph U-NetsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 487 1,191 0 11 May 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Dong Wang Joan Bruna 126 31 0 29 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 124 8 0 17 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 377 1,490 0 07 Apr 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System Adam Lerer Ledell Yu Wu Jiajun Shen Timothée Lacroix Luca Wehrstedt Abhijit Bose A. Peysakhovich GNN 310 401 0 28 Mar 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data erabioRxiv (bioRxiv), 2019 Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 217 316 0 28 Feb 2019
GFCN: A New Graph Convolutional Network Based on Parallel Flows Feng Ji Jielong Yang Qiang Zhang Wee Peng Tay GNN 185 6 0 25 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and ClassificationInternational Journal of Intelligent Systems (IJIS), 2019 Blaž Škrlj Jan Kralj Janez Konc Marko Robnik-Šikonja Nada Lavrac GNN BDL 210 5 0 11 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 1.4K 10,024 0 03 Jan 2019
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 1.5K 6,288 0 20 Dec 2018
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional NetworksInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018 Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 212 43 0 21 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Ninad Kulkarni Vinayak A. Rao Yun Liang 287 202 0 05 Nov 2018
Deep Graph InfomaxInternational Conference on Learning Representations (ICLR), 2018 Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 474 2,742 0 27 Sep 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 198 625 0 12 Aug 2018