Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

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

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Title
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 126 3,088 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 47 597 0 04 Jun 2018
Dual-Primal Graph Convolutional Networks Federico Monti Oleksandr Shchur Aleksandar Bojchevski Or Litany Stephan Günnemann M. Bronstein GNN 33 79 0 03 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas Guibas AAML GNN 38 41 0 31 May 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 35 912 0 30 May 2018
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications Pin-Yu Chen Lingfei Wu Sijia Liu I. Rajapakse 17 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 43 303 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 19 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 25 56 0 23 May 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 27 267 0 23 May 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 19 451 0 23 May 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 30 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 1,060 0 21 May 2018
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras Marco Cannici Marco Ciccone Andrea Romanoni Matteo Matteucci ObjD 24 113 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 42 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 22 193 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 17 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 27 21 0 23 Apr 2018
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks Diego Marcheggiani Jasmijn Bastings Ivan Titov GNN NAI 30 185 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 37 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 27 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 56 1,320 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 30 173 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
HOUDINI: Lifelong Learning as Program Synthesis Lazar Valkov Dipak Chaudhari Akash Srivastava Charles Sutton Swarat Chaudhuri 29 79 0 31 Mar 2018
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion G. Vivar A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 27 23 0 30 Mar 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li Li Li Fei-Fei Abhinav Gupta LRM GNN 66 214 0 29 Mar 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 38 299 0 28 Mar 2018
Referring Relationships Ranjay Krishna Ines Chami Michael S. Bernstein Li Fei-Fei 30 94 0 28 Mar 2018
Learning the Multiple Traveling Salesmen Problem with Permutation Invariant Pooling Networks Yoav Kaempfer Lior Wolf 27 71 0 26 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs Xinyu Wang Yufei Ye Abhinav Gupta 33 585 0 21 Mar 2018
Inference in Probabilistic Graphical Models by Graph Neural Networks Kijung Yoon Renjie Liao Yuwen Xiong Lisa Zhang Ethan Fetaya R. Urtasun R. Zemel Xaq Pitkow TPM 31 99 0 21 Mar 2018
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds) F. Groh P. Wieschollek Hendrik P. A. Lensch 3DPC 21 107 0 20 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 32 76 0 16 Mar 2018
Local Spectral Graph Convolution for Point Set Feature Learning Chu Wang Babak Samari Kaleem Siddiqi 3DPC GNN 33 371 0 15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 53 1,307 0 12 Mar 2018
Representation Learning over Dynamic Graphs Rakshit S. Trivedi Mehrdad Farajtabar P. Biswal H. Zha AI4TS AI4CE 29 51 0 11 Mar 2018
Deep Models of Interactions Across Sets Jason S. Hartford Devon R. Graham Kevin Leyton-Brown Siamak Ravanbakhsh 30 157 0 07 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 22 1,905 0 27 Feb 2018
MILE: A Multi-Level Framework for Scalable Graph Embedding Jiongqian Liang Saket Gurukar Srinivas Parthasarathy GNN 28 77 0 26 Feb 2018
Improving Graph Convolutional Networks with Non-Parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello A. Uncini GNN 33 7 0 26 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 36 258 0 24 Feb 2018