Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

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

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Title
A simple yet effective baseline for non-attributed graph classification Chen Cai Yusu Wang 27 32 0 08 Nov 2018
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation Anton Belyy Peijie Sun Richang Hong Yanjie Fu Xiting Wang Ming Wang GNN 22 117 0 07 Nov 2018
Multi-Task Graph Autoencoders Phi Vu Tran SSL 32 20 0 07 Nov 2018
A Recurrent Graph Neural Network for Multi-Relational Data Xuankai Chang A. Marques G. Giannakis GNN 27 35 0 05 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 21 188 0 05 Nov 2018
Structured Neural Summarization Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt GNN 34 212 0 05 Nov 2018
Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference Carlo Di Domenico Duc Minh Nguyen Evaggelia Tsiligianni Angel Lopez Aguirre M. Savino Frank Pasveer A. Bouras Nikos Deligiannis 22 24 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 41 257 0 03 Nov 2018
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 16 1,545 0 01 Nov 2018
A Regularized Attention Mechanism for Graph Attention Networks U. Shanthamallu Jayaraman J. Thiagarajan A. Spanias OOD GNN 24 17 0 01 Nov 2018
Fashionable Modelling with Flux Mike Innes Elliot Saba Keno Fischer Dhairya Gandhi Marco Concetto Rudilosso Neethu Mariya Joy Tejan Karmali Avik Pal Viral B. Shah AI4CE 39 161 0 01 Nov 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection Chenhan Jiang Hang Xu Xiangdan Liang Liang Lin VLM ObjD 39 86 0 30 Oct 2018
Mean-field theory of graph neural networks in graph partitioning T. Kawamoto Masashi Tsubaki T. Obuchi 21 58 0 29 Oct 2018
Learning and Interpreting Multi-Multi-Instance Learning Networks Alessandro Tibo M. Jaeger P. Frasconi AI4CE 35 23 0 26 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 33 78 0 25 Oct 2018
Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism Zhengchao Zhang Meng Li Xi Lin Yinhai Wang Fang He GNN AI4TS 42 21 0 24 Oct 2018
Convolutional Set Matching for Graph Similarity Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 29 38 0 23 Oct 2018
Deep Graph Convolutional Encoders for Structured Data to Text Generation Diego Marcheggiani Laura Perez-Beltrachini GNN 27 122 0 23 Oct 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 16 336 0 22 Oct 2018
Named Entity Disambiguation using Deep Learning on Graphs A. Cetoli Mohammad Akbari Stefano Bragaglia Andrew D. O'Harney Marc Sloan 40 20 0 22 Oct 2018
Visual Semantic Navigation using Scene Priors Wei Yang Xinyu Wang Ali Farhadi Abhinav Gupta Roozbeh Mottaghi LM&Ro 44 320 0 15 Oct 2018
$Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks$ 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 22 639 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 27 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