Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

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Title
$Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks$ Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks Max Schwarzer Bryce Rogan Yadong Ruan Zhengming Song Diana Lee ... V. Chau B. Moore E. Rougier Hari S. Viswanathan G. Srinivasan AI4CE 27 70 0 14 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 132 1,666 0 14 Oct 2018
Graph HyperNetworks for Neural Architecture Search Chris Zhang Mengye Ren R. Urtasun GNN 24 276 0 12 Oct 2018
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension Rajarshi Das Tsendsuren Munkhdalai Xingdi Yuan Adam Trischler Andrew McCallum 47 77 0 12 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 97 1,616 0 04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 20 639 0 03 Oct 2018
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh 23 42 0 01 Oct 2018
Encoding Robust Representation for Graph Generation Dongmian Zou Gilad Lerman GNN 27 0 0 28 Sep 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 66 2,353 0 27 Sep 2018
Graph Laplacian Regularized Graph Convolutional Networks for Semi-supervised Learning Bo Jiang Doudou Lin GNN 24 7 0 26 Sep 2018
Triad-based Neural Network for Coreference Resolution Yuanliang Meng Anna Rumshisky 6 5 0 18 Sep 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 21 76 0 17 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 22 488 0 14 Sep 2018
Part-based Graph Convolutional Network for Action Recognition Kalpit C. Thakkar P. J. Narayanan 3DH GNN 39 165 0 13 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 30 89 0 12 Sep 2018
EEG-based video identification using graph signal modeling and graph convolutional neural network Soobeom Jang Seong-Eun Moon Jong-Seok Lee 25 49 0 12 Sep 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 22 35 0 12 Sep 2018
Context-Dependent Diffusion Network for Visual Relationship Detection Zhen Cui Chunyan Xu Wenming Zheng Jian Yang GNN 27 50 0 11 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 32 101 0 10 Sep 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning Palash Goyal Sujit Rokka Chhetri A. Canedo 33 399 0 07 Sep 2018
MixUp as Locally Linear Out-Of-Manifold Regularization Hongyu Guo Yongyi Mao Richong Zhang 31 321 0 07 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 30 255 0 06 Sep 2018
Latent Molecular Optimization for Targeted Therapeutic Design Tristan Aumentado-Armstrong 17 41 0 05 Sep 2018
ARBEE: Towards Automated Recognition of Bodily Expression of Emotion In the Wild Yu Luo Jianbo Ye Reginald B. Adams Jia Li M. Newman Jianmin Wang 61 86 0 28 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 35 3 0 21 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 21 317 0 16 Aug 2018
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering Daniil Sorokin Iryna Gurevych GNN 27 96 0 13 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 33 589 0 12 Aug 2018
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks Soojeong Kim Gyeong-In Yu Hojin Park Sungwoo Cho Eunji Jeong Hyeonmin Ha Sanha Lee Joo Seong Jeong Byung-Gon Chun 28 73 0 08 Aug 2018
Graph R-CNN for Scene Graph Generation Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh GNN 62 837 0 01 Aug 2018
Bike Flow Prediction with Multi-Graph Convolutional Networks Di Chai Leye Wang Qiang Yang GNN 12 265 0 28 Jul 2018
DeepInf: Social Influence Prediction with Deep Learning J. Qiu Jian Tang Hao Ma Yuxiao Dong Kuansan Wang Jie Tang GNN AI4CE 16 537 0 15 Jul 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 21 118 0 10 Jul 2018
Diffusion Scattering Transforms on Graphs Fernando Gama Alejandro Ribeiro Joan Bruna GNN 42 101 0 22 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 113 2,131 0 22 Jun 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations Ting-Li Chen Martin Renqiang Min Yizhou Sun 26 70 0 21 Jun 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 27 249 0 21 Jun 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks Zhiyu Sun Jia Lu Stephen Seung-Yeob Baek 21 0 0 20 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot GNN 21 236 0 19 Jun 2018
Towards Gene Expression Convolutions using Gene Interaction Graphs Francis Dutil Joseph Paul Cohen Martin Weiss Georgy Derevyanko Yoshua Bengio GNN 29 32 0 18 Jun 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks Jinghui Chen Dongruo Zhou Yiqi Tang Ziyan Yang Yuan Cao Quanquan Gu ODL 24 193 0 18 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 284 1,956 0 09 Jun 2018
Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas Daniel Coelho De Castro Loic Le Folgoc Ian Walker Ryutaro Tanno Daniel Rueckert Ben Glocker A. Criminisi A. Nori SSL 44 89 0 07 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 215 891 0 07 Jun 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 129 3,502 0 06 Jun 2018
Relational Deep Reinforcement Learning V. Zambaldi David Raposo Adam Santoro V. Bapst Yujia Li ... Victoria Langston Razvan Pascanu M. Botvinick Oriol Vinyals Peter W. Battaglia OffRL 24 219 0 05 Jun 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 32 210 0 05 Jun 2018
Videos as Space-Time Region Graphs Xinyu Wang Abhinav Gupta 41 752 0 05 Jun 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 22 527 0 05 Jun 2018
Understanding Regularized Spectral Clustering via Graph Conductance Yilin Zhang Karl Rohe 26 80 0 05 Jun 2018