Gated Graph Sequence Neural Networks

17 November 2015

Papers citing "Gated Graph Sequence Neural Networks"

41 / 1,391 papers shown

Title
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 101 14,932 0 07 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 37 1,605 0 05 Jun 2017
Surface Networks Ilya Kostrikov Zhongshi Jiang Daniele Panozzo Denis Zorin Joan Bruna 30 99 0 30 May 2017
AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks Alexander L. Gaunt Matthew W. Johnson M. Riechert Daniel Tarlow Ryota Tomioka Dimitrios Vytiniotis Sam Webster BDL 25 31 0 27 May 2017
Deriving Neural Architectures from Sequence and Graph Kernels Tao Lei Wengong Jin Regina Barzilay Tommi Jaakkola GNN 45 137 0 25 May 2017
Supervised Community Detection with Line Graph Neural Networks Zhengdao Chen Xiang Li Joan Bruna 27 78 0 23 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 44 658 0 22 May 2017
Learning Edge Representations via Low-Rank Asymmetric Projections Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou 21 76 0 16 May 2017
A Generalization of Convolutional Neural Networks to Graph-Structured Data Yotam Hechtlinger Purvasha Chakravarti Jining Qin GNN 21 87 0 26 Apr 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks Federico Monti M. Bronstein Xavier Bresson GNN 21 516 0 22 Apr 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 33 365 0 20 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 116 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
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling Diego Marcheggiani Ivan Titov GNN NAI 11 829 0 14 Mar 2017
Linguistic Knowledge as Memory for Recurrent Neural Networks Bhuwan Dhingra Zhilin Yang William W. Cohen Ruslan Salakhutdinov RALM 30 37 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
Unifying local and non-local signal processing with graph CNNs Gilles Puy Srdan Kitic P. Pérez GNN 22 16 0 24 Feb 2017
Distributed Representations of Signed Networks Mohammad Raihanul Islam B. Prakash Naren Ramakrishnan GNN 17 58 0 22 Feb 2017
Discovering objects and their relations from entangled scene representations David Raposo Adam Santoro David Barrett Razvan Pascanu Timothy Lillicrap Peter W. Battaglia GNN OCL 15 71 0 16 Feb 2017
QCD-Aware Recursive Neural Networks for Jet Physics Gilles Louppe Kyunghyun Cho C. Becot Kyle Cranmer BDL 24 189 0 02 Feb 2017
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
Tracking the World State with Recurrent Entity Networks Mikael Henaff Jason Weston Arthur Szlam Antoine Bordes Yann LeCun KELM 32 227 0 12 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 253 439 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016
Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets Jaekoo Lee Hyunjae Kim Jongsun Lee Sungroh Yoon GNN 34 66 0 15 Nov 2016
Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering Liwen Zhang J. Winn Ryota Tomioka 30 19 0 07 Nov 2016
DeepCoder: Learning to Write Programs Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin Daniel Tarlow AIMat NAI 36 567 0 07 Nov 2016
Graph-Structured Representations for Visual Question Answering Damien Teney Lingqiao Liu Anton Van Den Hengel GNN NAI 40 416 0 19 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 62 28,649 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 40 10,757 0 03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 138 7,593 0 30 Jun 2016
Learning Multiagent Communication with Backpropagation Sainbayar Sukhbaatar Arthur Szlam Rob Fergus 79 1,138 0 25 May 2016
Learning to Discover Sparse Graphical Models Eugene Belilovsky Kyle Kastner Gaël Varoquaux Matthew Blaschko CML 23 30 0 20 May 2016
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 6 2,148 0 17 May 2016
Discriminative Embeddings of Latent Variable Models for Structured Data H. Dai Bo Dai Le Song BDL 55 695 0 17 Mar 2016
Learning Over Long Time Lags Hojjat Salehinejad AI4TS 33 8 0 13 Feb 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory Marcin Andrychowicz Karol Kurach 41 51 0 09 Feb 2016