Learning Convolutional Neural Networks for Graphs

17 May 2016

Papers citing "Learning Convolutional Neural Networks for Graphs"

21 / 371 papers shown

Title
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 35 1,721 0 08 May 2017
GRASS: Generative Recursive Autoencoders for Shape Structures Jun Li Kai Xu S. Chaudhuri Ersin Yumer Hao Zhang Leonidas J. Guibas 3DV 61 185 0 05 May 2017
Bootstrapping Graph Convolutional Neural Networks for Autism Spectrum Disorder Classification Rushil Anirudh Jayaraman J. Thiagarajan 33 90 0 24 Apr 2017
A Review on Deep Learning Techniques Applied to Semantic Segmentation Alberto Garcia-Garcia Sergio Orts Sergiu Oprea Victor Villena-Martinez Jose Garcia-Rodriguez 3DV SSeg 34 1,270 0 22 Apr 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs M. Simonovsky N. Komodakis GNN 21 1,222 0 10 Apr 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 134 7,334 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks M. Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 97 4,745 0 17 Mar 2017
Neural Graph Machines: Learning Neural Networks Using Graphs T. Bui Sujith Ravi Vivek Ramavajjala GNN 30 29 0 14 Mar 2017
Spectral Graph Convolutions for Population-based Disease Prediction Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 44 210 0 08 Mar 2017
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks S. Ktena Sarah Parisot Enzo Ferrante Martin Rajchl M. J. Lee Ben Glocker Daniel Rueckert GNN 26 191 0 07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 37 140 0 02 Mar 2017
QCD-Aware Recursive Neural Networks for Jet Physics Gilles Louppe Kyunghyun Cho C. Becot Kyle Cranmer BDL 26 189 0 02 Feb 2017
On Spectral Analysis of Directed Signed Graphs Yuemeng Li Xintao Wu Aidong Lu 31 10 0 23 Dec 2016
Structured Sequence Modeling with Graph Convolutional Recurrent Networks Youngjoo Seo M. Defferrard P. Vandergheynst Xavier Bresson GNN 36 758 0 22 Dec 2016
The More You Know: Using Knowledge Graphs for Image Classification Kenneth Marino Ruslan Salakhutdinov Abhinav Gupta GNN OCL 41 345 0 14 Dec 2016
DeepCas: an End-to-end Predictor of Information Cascades Cheng Li Jiaqi Ma Xiaoxiao Guo Qiaozhu Mei GNN 27 325 0 16 Nov 2016
From Node Embedding To Community Embedding V. Zheng Sandro Cavallari Hongyun Cai Kevin Chen-Chuan Chang Min Zhang GNN 36 33 0 31 Oct 2016
DeepGraph: Graph Structure Predicts Network Growth Cheng Li Xiaoxiao Guo Qiaozhu Mei GNN 31 17 0 20 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 83 28,649 0 09 Sep 2016
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs A. Narayanan Mahinthan Chandramohan Lihui Chen Yang Liu S. Saminathan GNN 17 156 0 29 Jun 2016
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation Sebastijan Dumancic Hendrik Blockeel SSL 20 15 0 28 Jun 2016