Gated Graph Sequence Neural Networks

17 November 2015

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,390 papers shown

Title
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration Yihan Gao Chao Zhang Jian-wei Peng Aditya G. Parameswaran 18 4 0 10 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 35 833 0 09 Feb 2018
Critical Percolation as a Framework to Analyze the Training of Deep Networks Z. Ringel Rodrigo Andrade de Bem 27 2 0 06 Feb 2018
Complex Network Classification with Convolutional Neural Network Ruyue Xin Jiang Zhang Yi Shao GNN 32 111 0 02 Feb 2018
Adaptive Memory Networks Daniel Li Asim Kadav 26 5 0 01 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 23 1,504 0 30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 98 6,031 0 24 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 68 4,091 0 23 Jan 2018
Graph Memory Networks for Molecular Activity Prediction Trang Pham T. Tran Svetha Venkatesh GNN 26 30 0 08 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 33 165 0 07 Jan 2018
Learning to Act Properly: Predicting and Explaining Affordances from Images Ching-Yao Chuang Jiaman Li Antonio Torralba Sanja Fidler 16 101 0 20 Dec 2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model Bo Wu Yang Liu B. Lang Lei Huang 13 68 0 10 Dec 2017
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models Francis Dutil Çağlar Gülçehre Adam Trischler Yoshua Bengio 18 12 0 28 Nov 2017
Semi-supervised learning of hierarchical representations of molecules using neural message passing Hai V. Nguyen S. Maeda Kenta Oono 21 13 0 28 Nov 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Loic Landrieu M. Simonovsky GNN 3DPC 74 1,240 0 27 Nov 2017
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams Daesik Kim Y. Yoo Jeesoo Kim Sangkuk Lee Nojun Kwak 14 25 0 27 Nov 2017
Deep Learning for Real-Time Crime Forecasting and its Ternarization Bao Wang Penghang Yin Andrea L. Bertozzi P. Brantingham Stanley J. Osher Jack Xin AI4TS 38 82 0 23 Nov 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 30 461 0 20 Nov 2017
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs Chung-Wei Lee Wei Fang Chih-Kuan Yeh Y. Wang VLM 37 280 0 17 Nov 2017
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification SungMin Rhee Seokjun Seo Sun Kim GNN 28 173 0 16 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 42 1,230 0 10 Nov 2017
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 27 796 0 01 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lió Yoshua Bengio GNN 86 19,703 0 30 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou Alexander A. Alemi GNN 24 32 0 26 Oct 2017
LASAGNE: Locality And Structure Aware Graph Node Embedding Evgheniy Faerman Felix Borutta K. Fountoulakis Michael W. Mahoney GNN 13 18 0 17 Oct 2017
Large Scale Graph Learning from Smooth Signals Vassilis Kalofolias Nathanael Perraudin 15 80 0 16 Oct 2017
Graph Convolutional Networks for Classification with a Structured Label Space Meihao Chen Zhuoru Lin Kyunghyun Cho GNN 22 16 0 12 Oct 2017
Learning Graph Representations with Embedding Propagation Alberto García-Durán Mathias Niepert GNN SSL 24 167 0 09 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding Mingzhe Wang Yihe Tang Jian Wang Jia Deng 24 132 0 28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 32 1,780 0 22 Sep 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 6 843 0 18 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 34 1,966 0 17 Sep 2017
Variational Reasoning for Question Answering with Knowledge Graph Yuyu Zhang H. Dai Zornitsa Kozareva Alex Smola Le Song 22 467 0 12 Sep 2017
Learning Graph-Level Representation for Drug Discovery Junying Li Deng Cai Xiaofei He GNN AI4CE 23 115 0 12 Sep 2017
Learning Graph Topological Features via GAN Weiyi Liu Hal Cooper Min Hwan Oh Fucai Yu Pin-Yu Chen Toyotaro Suzumura Guangmin Hu GAN AI4CE 19 25 0 11 Sep 2017
Graph Classification via Deep Learning with Virtual Nodes Trang Pham T. Tran K. Dam Svetha Venkatesh GNN 20 45 0 14 Aug 2017
Situation Recognition with Graph Neural Networks Ruiyu Li Makarand Tapaswi Renjie Liao Jiaya Jia R. Urtasun Sanja Fidler GNN 8 131 0 14 Aug 2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs Nanyun Peng Hoifung Poon Chris Quirk Kristina Toutanova Wen-tau Yih 19 508 0 12 Aug 2017
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis Mingyuan Bai Boyan Zhang Junbin Gao 21 8 0 01 Aug 2017
Predicting multicellular function through multi-layer tissue networks Marinka Zitnik J. Leskovec 14 537 0 14 Jul 2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting Yaguang Li Rose Yu Cyrus Shahabi Yan Liu GNN DiffM AI4TS 54 99 0 06 Jul 2017
Graph Convolution: A High-Order and Adaptive Approach Zhenpeng Zhou Xiaocheng Li GNN 20 22 0 29 Jun 2017
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks Alex W. Nowak Soledad Villar Afonso S. Bandeira Joan Bruna 44 113 0 22 Jun 2017
RelNet: End-to-End Modeling of Entities & Relations Trapit Bansal Arvind Neelakantan Andrew McCallum GNN KELM 3DV 16 24 0 22 Jun 2017
VAIN: Attentional Multi-agent Predictive Modeling Yedid Hoshen GNN 41 237 0 19 Jun 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach Takuo Hamaguchi H. Oiwa Masashi Shimbo Yuji Matsumoto 17 328 0 18 Jun 2017
Gated Orthogonal Recurrent Units: On Learning to Forget Li Jing Çağlar Gülçehre J. Peurifoy Yichen Shen Max Tegmark Marin Soljacic Yoshua Bengio 33 125 0 08 Jun 2017
Generalized Value Iteration Networks: Life Beyond Lattices Sufeng Niu Siheng Chen Hanyu Guo Colin Targonski M. C. Smith J. Kovacevic GNN 24 53 0 08 Jun 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 13 1,200 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 31 14,888 0 07 Jun 2017