Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

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

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Title
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 23 73 0 08 Aug 2018
Graph R-CNN for Scene Graph Generation Jianwei Yang Jiasen Lu Stefan Lee Dhruv Batra Devi Parikh GNN 57 836 0 01 Aug 2018
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks Yu Shi Qi Zhu Fang Guo Chao Zhang Jiawei Han 16 118 0 10 Jul 2018
Diffusion Scattering Transforms on Graphs Fernando Gama Alejandro Ribeiro Joan Bruna GNN 42 100 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 108 2,126 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 19 193 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 279 1,948 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 33 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 215 887 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 3,491 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 30 209 0 05 Jun 2018
Videos as Space-Time Region Graphs Xinyu Wang Abhinav Gupta 36 752 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 22 526 0 05 Jun 2018
Understanding Regularized Spectral Clustering via Graph Conductance Yilin Zhang Karl Rohe 21 80 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 121 3,087 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 595 0 04 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 0 31 May 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 35 909 0 30 May 2018
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications Pin-Yu Chen Lingfei Wu Sijia Liu I. Rajapakse 12 28 0 30 May 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning Michael C. Kampffmeyer Yinbo Chen Xiaodan Liang Hao Wang Yujia Zhang Eric Xing 29 303 0 29 May 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning Shupeng Gui Xiangliang Zhang Shuang Qiu Mingrui Wu Jieping Ye Ji Liu 13 0 0 28 May 2018
A Generative Model For Electron Paths John Bradshaw Matt J. Kusner Brooks Paige Marwin H. S. Segler José Miguel Hernández-Lobato 22 55 0 23 May 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 25 266 0 23 May 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 17 450 0 23 May 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 27 55 0 22 May 2018
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease Xi Sheryl Zhang Lifang He Kun Chen Yuan Luo Jiayu Zhou Fei Wang 14 87 0 22 May 2018
Graph Capsule Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN 35 128 0 21 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 37 1,058 0 21 May 2018
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras Marco Cannici Marco Ciccone Andrea Romanoni Matteo Matteucci ObjD 19 113 0 21 May 2018
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds Daniele Grattarola Daniele Zambon Cesare Alippi L. Livi GNN 37 40 0 16 May 2018
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition Xikun Zhang Chang Xu Xinmei Tian Dacheng Tao 3DH GNN 33 157 0 16 May 2018
Domain Adaptation with Adversarial Training and Graph Embeddings Firoj Alam Shafiq Joty Muhammad Imran OOD 27 118 0 14 May 2018
Constructing Narrative Event Evolutionary Graph for Script Event Prediction Zhongyang Li Xiao Ding Ting Liu 16 192 0 14 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 25 1 0 04 May 2018
Prospects for Declarative Mathematical Modeling of Complex Biological Systems E. Mjolsness 9 14 0 30 Apr 2018
Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction Anees Kazi Shadi Albarqouni K. Kortuem Nassir Navab MedIm 19 5 0 28 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 22 21 0 23 Apr 2018
Feature Propagation on Graph: A New Perspective to Graph Representation Learning B. Xiang Ziqi Liu Jun Zhou Xiaolong Li 3DV GNN 40 7 0 17 Apr 2018
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes T. K. Saha Thomas Williams M. Hasan Shafiq Joty Nicholas K. Varberg 15 9 0 16 Apr 2018
Walk-Steered Convolution for Graph Classification Jiatao Jiang Chunyan Xu Zhen Cui Tong Zhang Chengzhen Li Jian Yang GNN 25 12 0 16 Apr 2018
Adaptive Diffusions for Scalable Learning over Graphs Dimitris Berberidis A. Nikolakopoulos G. Giannakis GNN 24 36 0 05 Apr 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wen Liu Yu-Gang Jiang 3DV 32 1,318 0 05 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 172 0 03 Apr 2018
Attentional Multilabel Learning over Graphs: A Message Passing Approach Kien Do T. Tran Thin Nguyen Svetha Venkatesh 29 17 0 01 Apr 2018